Items tagged with max max Tagged Items Feed

Dear Community,

Does anybody know, if there is a limit for the maximum number of equations for MapleSim? I tried with a system of 4456 equations, and I got the error message "(in DSN/RunSimulation ) system is inconsistent" When I took away most of the components (subsystems) it worked. So I suppose there must be some limit for the number of equations.

Tx in advance,

Andras

Hi all

I have a mathematical problem and I asked it in various sites but the answers till yet are not correct.

Assume that we have:

T[m]:=t->t^m:
b[n,m]:=unapply(piecewise(t>=(n-1)*tj/N and t<n*tj/N, T[m](N*t-(n-1)*tj), 0), t):

where n,N,tj are known constants. furthermore assume that we want to comute the following integral:

for following approximations:

I have written the following code but it seems to be incorrect:

V1:=Vector([seq(seq(b[n,m](t),m=0..1),n=1..3)]);
V:=evalf(V1.Transpose(V1));

the original program is :

taaylor.mws

I will be so grateful if any one can help me to solve it by maple

Mahmood   Dadkhah

Ph.D Candidate

Applied Mathematics Department

Hi,

On page 32 (PDF)

 

Two different results were obtained using the Global optimization.

Log likelihood does not differ much. BUT the estimates vary a lot, such as mu[p].

tmp.mw

tmp.pdf

 

When I tried to use one of the answer from a particular run, I get the HFLOATING error, see picture.

So how reliable is this? Could there be a better way to optimize this ?

 

Thanks!

 

As an additional note, if I have Matlab R2014a, could I use Matlab to optimize the target function? DO I need to purchase a seperate addon?

 

Hello,

This is probably a silly question, but I am trying to compare the difference between two variables in the numerical solution of a system of ODEs. Ideally, I would like a method to find the maximal difference that occurs between two variables.

The following is a highly simplified example of what I'm talking about. In this case I'd like some means to find the timepoint and magnitude of the maximal difference between y2(t) and y3(t) for t>0, which from the plot can be seen to occur at about 1.75 seconds. Note: I realise this particular case admits an analytic solution of y3(t) which could be exploited, but in the general case I'm interested in that won't be true.

Thanks in advance for any help you can provide.

 

with(plots):

Sys := {diff(y1(t), t) = y1(t)^2-4*y1(t)+y2(t)*y1(t)-y2(t)+1, diff(y2(t), t) = y1(t), diff(y3(t), t) = -y3(t)+1, y1(0) = 0, y2(0) = 0, y3(0) = 0}

{diff(y1(t), t) = y1(t)^2-4*y1(t)+y2(t)*y1(t)-y2(t)+1, diff(y2(t), t) = y1(t), diff(y3(t), t) = -y3(t)+1, y1(0) = 0, y2(0) = 0, y3(0) = 0}

(1)

Sol := dsolve(Sys, numeric)

proc (x_rkf45) local _res, _dat, _vars, _solnproc, _xout, _ndsol, _pars, _n, _i; option `Copyright (c) 2000 by Waterloo Maple Inc. All rights reserved.`; if 1 < nargs then error "invalid input: too many arguments" end if; _EnvDSNumericSaveDigits := Digits; Digits := 15; if _EnvInFsolve = true then _xout := evalf[_EnvDSNumericSaveDigits](x_rkf45) else _xout := evalf(x_rkf45) end if; _dat := Array(1..4, {(1) = proc (_xin) local _xout, _dtbl, _dat, _vmap, _x0, _y0, _val, _dig, _n, _ne, _nd, _nv, _pars, _ini, _par, _i, _j, _k, _src; option `Copyright (c) 2002 by Waterloo Maple Inc. All rights reserved.`; table( [( "complex" ) = false ] ) _xout := _xin; _pars := []; _dtbl := array( 1 .. 4, [( 1 ) = (array( 1 .. 19, [( 1 ) = (datatype = float[8], order = C_order, storage = rectangular), ( 2 ) = (datatype = float[8], order = C_order, storage = rectangular), ( 3 ) = ([0, 0, 0, Array(1..0, 1..2, {}, datatype = float[8], order = C_order)]), ( 4 ) = (Array(1..49, {(1) = 3, (2) = 3, (3) = 0, (4) = 0, (5) = 0, (6) = 0, (7) = 1, (8) = 0, (9) = 0, (10) = 0, (11) = 0, (12) = 0, (13) = 0, (14) = 0, (15) = 0, (16) = 0, (17) = 0, (18) = 1, (19) = 30000, (20) = 0, (21) = 0, (22) = 1, (23) = 4, (24) = 0, (25) = 1, (26) = 15, (27) = 1, (28) = 0, (29) = 1, (30) = 3, (31) = 3, (32) = 0, (33) = 1, (34) = 0, (35) = 0, (36) = 0, (37) = 0, (38) = 0, (39) = 0, (40) = 0, (41) = 0, (42) = 0, (43) = 1, (44) = 0, (45) = 0, (46) = 0, (47) = 0, (48) = 0, (49) = 0}, datatype = integer[8])), ( 5 ) = (Array(1..25, {(1) = .0, (2) = 0.10e-5, (3) = .0, (4) = 0.500001e-14, (5) = .0, (6) = 0.5047658755841546e-2, (7) = .0, (8) = 0.10e-5, (9) = .0, (10) = .0, (11) = .0, (12) = .0, (13) = 1.0, (14) = .0, (15) = .5, (16) = .0, (17) = 1.0, (18) = 1.0, (19) = .0, (20) = .0, (21) = 1.0, (22) = 1.0, (23) = .0, (24) = .0, (25) = .0}, datatype = float[8], order = C_order)), ( 6 ) = (Array(1..3, {(1) = .0, (2) = .0, (3) = .0}, datatype = float[8], order = C_order)), ( 7 ) = ([Array(1..4, 1..7, {(1, 1) = .0, (1, 2) = .203125, (1, 3) = .3046875, (1, 4) = .75, (1, 5) = .8125, (1, 6) = .40625, (1, 7) = .8125, (2, 1) = 0.6378173828125e-1, (2, 2) = .0, (2, 3) = .279296875, (2, 4) = .27237892150878906, (2, 5) = -0.9686851501464844e-1, (2, 6) = 0.1956939697265625e-1, (2, 7) = .5381584167480469, (3, 1) = 0.31890869140625e-1, (3, 2) = .0, (3, 3) = -.34375, (3, 4) = -.335235595703125, (3, 5) = .2296142578125, (3, 6) = .41748046875, (3, 7) = 11.480712890625, (4, 1) = 0.9710520505905151e-1, (4, 2) = .0, (4, 3) = .40350341796875, (4, 4) = 0.20297467708587646e-1, (4, 5) = -0.6054282188415527e-2, (4, 6) = -0.4770040512084961e-1, (4, 7) = .77858567237854}, datatype = float[8], order = C_order), Array(1..6, 1..6, {(1, 1) = .0, (1, 2) = .0, (1, 3) = .0, (1, 4) = .0, (1, 5) = .0, (1, 6) = 1.0, (2, 1) = .25, (2, 2) = .0, (2, 3) = .0, (2, 4) = .0, (2, 5) = .0, (2, 6) = 1.0, (3, 1) = .1875, (3, 2) = .5625, (3, 3) = .0, (3, 4) = .0, (3, 5) = .0, (3, 6) = 2.0, (4, 1) = .23583984375, (4, 2) = -.87890625, (4, 3) = .890625, (4, 4) = .0, (4, 5) = .0, (4, 6) = .2681884765625, (5, 1) = .1272735595703125, (5, 2) = -.5009765625, (5, 3) = .44921875, (5, 4) = -0.128936767578125e-1, (5, 5) = .0, (5, 6) = 0.626220703125e-1, (6, 1) = -0.927734375e-1, (6, 2) = .626220703125, (6, 3) = -.4326171875, (6, 4) = .1418304443359375, (6, 5) = -0.861053466796875e-1, (6, 6) = .3131103515625}, datatype = float[8], order = C_order), Array(1..6, {(1) = .0, (2) = .386, (3) = .21, (4) = .63, (5) = 1.0, (6) = 1.0}, datatype = float[8], order = C_order), Array(1..6, {(1) = .25, (2) = -.1043, (3) = .1035, (4) = -0.362e-1, (5) = .0, (6) = .0}, datatype = float[8], order = C_order), Array(1..6, 1..5, {(1, 1) = .0, (1, 2) = .0, (1, 3) = .0, (1, 4) = .0, (1, 5) = .0, (2, 1) = 1.544, (2, 2) = .0, (2, 3) = .0, (2, 4) = .0, (2, 5) = .0, (3, 1) = .9466785280815533, (3, 2) = .25570116989825814, (3, 3) = .0, (3, 4) = .0, (3, 5) = .0, (4, 1) = 3.3148251870684886, (4, 2) = 2.896124015972123, (4, 3) = .9986419139977808, (4, 4) = .0, (4, 5) = .0, (5, 1) = 1.2212245092262748, (5, 2) = 6.019134481287752, (5, 3) = 12.537083329320874, (5, 4) = -.687886036105895, (5, 5) = .0, (6, 1) = 1.2212245092262748, (6, 2) = 6.019134481287752, (6, 3) = 12.537083329320874, (6, 4) = -.687886036105895, (6, 5) = 1.0}, datatype = float[8], order = C_order), Array(1..6, 1..5, {(1, 1) = .0, (1, 2) = .0, (1, 3) = .0, (1, 4) = .0, (1, 5) = .0, (2, 1) = -5.6688, (2, 2) = .0, (2, 3) = .0, (2, 4) = .0, (2, 5) = .0, (3, 1) = -2.4300933568337584, (3, 2) = -.20635991570891224, (3, 3) = .0, (3, 4) = .0, (3, 5) = .0, (4, 1) = -.10735290581452621, (4, 2) = -9.594562251021896, (4, 3) = -20.470286148096154, (4, 4) = .0, (4, 5) = .0, (5, 1) = 7.496443313968615, (5, 2) = -10.246804314641219, (5, 3) = -33.99990352819906, (5, 4) = 11.708908932061595, (5, 5) = .0, (6, 1) = 8.083246795922411, (6, 2) = -7.981132988062785, (6, 3) = -31.52159432874373, (6, 4) = 16.319305431231363, (6, 5) = -6.0588182388340535}, datatype = float[8], order = C_order), Array(1..3, 1..5, {(1, 1) = .0, (1, 2) = .0, (1, 3) = .0, (1, 4) = .0, (1, 5) = .0, (2, 1) = 10.126235083446911, (2, 2) = -7.487995877607633, (2, 3) = -34.800918615557414, (2, 4) = -7.9927717075687275, (2, 5) = 1.0251377232956207, (3, 1) = -.6762803392806898, (3, 2) = 6.087714651678606, (3, 3) = 16.43084320892463, (3, 4) = 24.767225114183653, (3, 5) = -6.5943891257167815}, datatype = float[8], order = C_order)]), ( 8 ) = ([Array(1..3, {(1) = .0, (2) = .0, (3) = .0}, datatype = float[8], order = C_order), Array(1..3, {(1) = .0, (2) = .0, (3) = .0}, datatype = float[8], order = C_order), Array(1..3, {(1) = 1.0, (2) = .0, (3) = 1.0}, datatype = float[8], order = C_order)]), ( 9 ) = ([Array(1..3, {(1) = .1, (2) = .1, (3) = .1}, datatype = float[8], order = C_order), Array(1..3, {(1) = .0, (2) = .0, (3) = .0}, datatype = float[8], order = C_order), Array(1..3, {(1) = .0, (2) = .0, (3) = .0}, datatype = float[8], order = C_order), Array(1..3, {(1) = .0, (2) = .0, (3) = .0}, datatype = float[8], order = C_order), Array(1..3, {(1) = .0, (2) = .0, (3) = .0}, datatype = float[8], order = C_order), Array(1..3, 1..3, {(1, 1) = .0, (1, 2) = .0, (1, 3) = .0, (2, 1) = .0, (2, 2) = .0, (2, 3) = .0, (3, 1) = .0, (3, 2) = .0, (3, 3) = .0}, datatype = float[8], order = C_order), Array(1..3, 1..3, {(1, 1) = .0, (1, 2) = .0, (1, 3) = .0, (2, 1) = .0, (2, 2) = .0, (2, 3) = .0, (3, 1) = .0, (3, 2) = .0, (3, 3) = .0}, datatype = float[8], order = C_order), Array(1..3, 1..6, {(1, 1) = .0, (1, 2) = .0, (1, 3) = .0, (1, 4) = .0, (1, 5) = .0, (1, 6) = .0, (2, 1) = .0, (2, 2) = .0, (2, 3) = .0, (2, 4) = .0, (2, 5) = .0, (2, 6) = .0, (3, 1) = .0, (3, 2) = .0, (3, 3) = .0, (3, 4) = .0, (3, 5) = .0, (3, 6) = .0}, datatype = float[8], order = C_order), Array(1..3, {(1) = 0, (2) = 0, (3) = 0}, datatype = integer[8]), Array(1..3, {(1) = .0, (2) = .0, (3) = .0}, datatype = float[8], order = C_order), Array(1..3, {(1) = .0, (2) = .0, (3) = .0}, datatype = float[8], order = C_order), Array(1..3, {(1) = .0, (2) = .0, (3) = .0}, datatype = float[8], order = C_order), Array(1..3, {(1) = .0, (2) = .0, (3) = .0}, datatype = float[8], order = C_order)]), ( 10 ) = ([proc (N, X, Y, YP) option `[Y[1] = y1(t), Y[2] = y2(t), Y[3] = y3(t)]`; YP[1] := Y[1]^2-4*Y[1]+Y[2]*Y[1]-Y[2]+1; YP[3] := -Y[3]+1; YP[2] := Y[1]; 0 end proc, -1, 0, 0, 0, 0]), ( 11 ) = (Array(1..6, 0..3, {(1, 1) = .0, (1, 2) = .0, (1, 3) = .0, (2, 0) = .0, (2, 1) = .0, (2, 2) = .0, (2, 3) = .0, (3, 0) = .0, (3, 1) = .0, (3, 2) = .0, (3, 3) = .0, (4, 0) = .0, (4, 1) = .0, (4, 2) = .0, (4, 3) = .0, (5, 0) = .0, (5, 1) = .0, (5, 2) = .0, (5, 3) = .0, (6, 0) = .0, (6, 1) = .0, (6, 2) = .0, (6, 3) = .0}, datatype = float[8], order = C_order)), ( 12 ) = (), ( 13 ) = (), ( 14 ) = ([0, 0]), ( 15 ) = ("rkf45"), ( 17 ) = ([proc (N, X, Y, YP) option `[Y[1] = y1(t), Y[2] = y2(t), Y[3] = y3(t)]`; YP[1] := Y[1]^2-4*Y[1]+Y[2]*Y[1]-Y[2]+1; YP[3] := -Y[3]+1; YP[2] := Y[1]; 0 end proc, -1, 0, 0, 0, 0]), ( 16 ) = ([0, 0, 0, []]), ( 19 ) = (0), ( 18 ) = ([])  ] ))  ] ); _y0 := Array(0..3, {(1) = 0., (2) = 0., (3) = 0.}); _vmap := array( 1 .. 3, [( 1 ) = (1), ( 2 ) = (2), ( 3 ) = (3)  ] ); _x0 := _dtbl[1][5][5]; _n := _dtbl[1][4][1]; _ne := _dtbl[1][4][3]; _nd := _dtbl[1][4][4]; _nv := _dtbl[1][4][16]; if not type(_xout, 'numeric') then if member(_xout, ["start", "left", "right"]) then if _Env_smart_dsolve_numeric = true or _dtbl[1][4][10] = 1 then if _xout = "left" then if type(_dtbl[2], 'table') then return _dtbl[2][5][1] end if elif _xout = "right" then if type(_dtbl[3], 'table') then return _dtbl[3][5][1] end if end if end if; return _dtbl[1][5][5] elif _xout = "method" then return _dtbl[1][15] elif _xout = "storage" then return evalb(_dtbl[1][4][10] = 1) elif _xout = "leftdata" then if not type(_dtbl[2], 'array') then return NULL else return eval(_dtbl[2]) end if elif _xout = "rightdata" then if not type(_dtbl[3], 'array') then return NULL else return eval(_dtbl[3]) end if elif _xout = "enginedata" then return eval(_dtbl[1]) elif _xout = "enginereset" then _dtbl[2] := evaln(_dtbl[2]); _dtbl[3] := evaln(_dtbl[3]); return NULL elif _xout = "initial" then return procname(_y0[0]) elif _xout = "laxtol" then return _dtbl[`if`(member(_dtbl[4], {2, 3}), _dtbl[4], 1)][5][18] elif _xout = "numfun" then return `if`(member(_dtbl[4], {2, 3}), _dtbl[_dtbl[4]][4][18], 0) elif _xout = "parameters" then return [seq(_y0[_n+_i], _i = 1 .. nops(_pars))] elif _xout = "initial_and_parameters" then return procname(_y0[0]), [seq(_y0[_n+_i], _i = 1 .. nops(_pars))] elif _xout = "last" then if _dtbl[4] <> 2 and _dtbl[4] <> 3 or _x0-_dtbl[_dtbl[4]][5][1] = 0. then error "no information is available on last computed point" else _xout := _dtbl[_dtbl[4]][5][1] end if elif _xout = "function" then if _dtbl[1][4][33]-2. = 0 then return eval(_dtbl[1][10], 1) else return eval(_dtbl[1][10][1], 1) end if elif _xout = "map" then return copy(_vmap) elif type(_xin, `=`) and type(rhs(_xin), 'list') and member(lhs(_xin), {"initial", "parameters", "initial_and_parameters"}) then _ini, _par := [], []; if lhs(_xin) = "initial" then _ini := rhs(_xin) elif lhs(_xin) = "parameters" then _par := rhs(_xin) elif select(type, rhs(_xin), `=`) <> [] then _par, _ini := selectremove(type, rhs(_xin), `=`) elif nops(rhs(_xin)) < nops(_pars)+1 then error "insufficient data for specification of initial and parameters" else _par := rhs(_xin)[-nops(_pars) .. -1]; _ini := rhs(_xin)[1 .. -nops(_pars)-1] end if; _xout := lhs(_xout); if _par <> [] then `dsolve/numeric/process_parameters`(_n, _pars, _par, _y0) end if; if _ini <> [] then `dsolve/numeric/process_initial`(_n-_ne, _ini, _y0, _pars, _vmap) end if; `dsolve/numeric/SC/reinitialize`(_dtbl, _y0, _n, procname, _pars); if _Env_smart_dsolve_numeric = true and type(_y0[0], 'numeric') and _dtbl[1][4][10] <> 1 then procname("right") := _y0[0]; procname("left") := _y0[0] end if; if _xout = "initial" then return [_y0[0], seq(_y0[_vmap[_i]], _i = 1 .. _n-_ne)] elif _xout = "parameters" then return [seq(_y0[_n+_i], _i = 1 .. nops(_pars))] else return [_y0[0], seq(_y0[_vmap[_i]], _i = 1 .. _n-_ne)], [seq(_y0[_n+_i], _i = 1 .. nops(_pars))] end if elif _xin = "eventstop" then if _nv = 0 then error "this solution has no events" end if; _i := _dtbl[4]; if _i <> 2 and _i <> 3 then return 0 end if; if _dtbl[_i][4][10] = 1 and assigned(_dtbl[5-_i]) and _dtbl[_i][4][9] < 10 and 10 <= _dtbl[5-_i][4][9] then _i := 5-_i; _dtbl[4] := _i; _j := round(_dtbl[_i][4][17]); return round(_dtbl[_i][3][1][_j, 1]) elif 10 <= _dtbl[_i][4][9] then _j := round(_dtbl[_i][4][17]); return round(_dtbl[_i][3][1][_j, 1]) else return 0 end if elif _xin = "eventstatus" then if _nv = 0 then error "this solution has no events" end if; _i := [selectremove(proc (a) options operator, arrow; _dtbl[1][3][1][a, 7] = 1 end proc, {seq(_j, _j = 1 .. round(_dtbl[1][3][1][_nv+1, 1]))})]; return ':-enabled' = _i[1], ':-disabled' = _i[2] elif _xin = "eventclear" then if _nv = 0 then error "this solution has no events" end if; _i := _dtbl[4]; if _i <> 2 and _i <> 3 then error "no events to clear" end if; if _dtbl[_i][4][10] = 1 and assigned(_dtbl[5-_i]) and _dtbl[_i][4][9] < 10 and 10 < _dtbl[5-_i][4][9] then _dtbl[4] := 5-_i; _i := 5-_i end if; if _dtbl[_i][4][9] < 10 then error "no events to clear" elif _nv < _dtbl[_i][4][9]-10 then error "event error condition cannot be cleared" else _j := _dtbl[_i][4][9]-10; if irem(round(_dtbl[_i][3][1][_j, 4]), 2) = 1 then error "retriggerable events cannot be cleared" end if; _j := round(_dtbl[_i][3][1][_j, 1]); for _k to _nv do if _dtbl[_i][3][1][_k, 1] = _j then if _dtbl[_i][3][1][_k, 2] = 3 then error "range events cannot be cleared" end if; _dtbl[_i][3][1][_k, 8] := _dtbl[_i][3][1][_nv+1, 8] end if end do; _dtbl[_i][4][17] := 0; _dtbl[_i][4][9] := 0; if _dtbl[1][4][10] = 1 then if _i = 2 then try procname(procname("left")) catch:  end try else try procname(procname("right")) catch:  end try end if end if end if; return  elif type(_xin, `=`) and member(lhs(_xin), {"eventdisable", "eventenable"}) then if _nv = 0 then error "this solution has no events" end if; if type(rhs(_xin), {('list')('posint'), ('set')('posint')}) then _i := {op(rhs(_xin))} elif type(rhs(_xin), 'posint') then _i := {rhs(_xin)} else error "event identifiers must be integers in the range 1..%1", round(_dtbl[1][3][1][_nv+1, 1]) end if; if select(proc (a) options operator, arrow; _nv < a end proc, _i) <> {} then error "event identifiers must be integers in the range 1..%1", round(_dtbl[1][3][1][_nv+1, 1]) end if; _k := {}; for _j to _nv do if member(round(_dtbl[1][3][1][_j, 1]), _i) then _k := `union`(_k, {_j}) end if end do; _i := _k; if lhs(_xin) = "eventdisable" then _dtbl[4] := 0; _j := [evalb(assigned(_dtbl[2]) and member(_dtbl[2][4][17], _i)), evalb(assigned(_dtbl[3]) and member(_dtbl[3][4][17], _i))]; for _k in _i do _dtbl[1][3][1][_k, 7] := 0; if assigned(_dtbl[2]) then _dtbl[2][3][1][_k, 7] := 0 end if; if assigned(_dtbl[3]) then _dtbl[3][3][1][_k, 7] := 0 end if end do; if _j[1] then for _k to _nv+1 do if _k <= _nv and not type(_dtbl[2][3][4][_k, 1], 'undefined') then userinfo(3, {'events', 'eventreset'}, `reinit #2, event code `, _k, ` to defined init `, _dtbl[2][3][4][_k, 1]); _dtbl[2][3][1][_k, 8] := _dtbl[2][3][4][_k, 1] elif _dtbl[2][3][1][_k, 2] = 0 and irem(iquo(round(_dtbl[2][3][1][_k, 4]), 32), 2) = 1 then userinfo(3, {'events', 'eventreset'}, `reinit #2, event code `, _k, ` to rate hysteresis init `, _dtbl[2][5][24]); _dtbl[2][3][1][_k, 8] := _dtbl[2][5][24] elif _dtbl[2][3][1][_k, 2] = 0 and irem(iquo(round(_dtbl[2][3][1][_k, 4]), 2), 2) = 0 then userinfo(3, {'events', 'eventreset'}, `reinit #2, event code `, _k, ` to initial init `, _x0); _dtbl[2][3][1][_k, 8] := _x0 else userinfo(3, {'events', 'eventreset'}, `reinit #2, event code `, _k, ` to fireinitial init `, _x0-1); _dtbl[2][3][1][_k, 8] := _x0-1 end if end do; _dtbl[2][4][17] := 0; _dtbl[2][4][9] := 0; if _dtbl[1][4][10] = 1 then procname(procname("left")) end if end if; if _j[2] then for _k to _nv+1 do if _k <= _nv and not type(_dtbl[3][3][4][_k, 2], 'undefined') then userinfo(3, {'events', 'eventreset'}, `reinit #3, event code `, _k, ` to defined init `, _dtbl[3][3][4][_k, 2]); _dtbl[3][3][1][_k, 8] := _dtbl[3][3][4][_k, 2] elif _dtbl[3][3][1][_k, 2] = 0 and irem(iquo(round(_dtbl[3][3][1][_k, 4]), 32), 2) = 1 then userinfo(3, {'events', 'eventreset'}, `reinit #3, event code `, _k, ` to rate hysteresis init `, _dtbl[3][5][24]); _dtbl[3][3][1][_k, 8] := _dtbl[3][5][24] elif _dtbl[3][3][1][_k, 2] = 0 and irem(iquo(round(_dtbl[3][3][1][_k, 4]), 2), 2) = 0 then userinfo(3, {'events', 'eventreset'}, `reinit #3, event code `, _k, ` to initial init `, _x0); _dtbl[3][3][1][_k, 8] := _x0 else userinfo(3, {'events', 'eventreset'}, `reinit #3, event code `, _k, ` to fireinitial init `, _x0+1); _dtbl[3][3][1][_k, 8] := _x0+1 end if end do; _dtbl[3][4][17] := 0; _dtbl[3][4][9] := 0; if _dtbl[1][4][10] = 1 then procname(procname("right")) end if end if else for _k in _i do _dtbl[1][3][1][_k, 7] := 1 end do; _dtbl[2] := evaln(_dtbl[2]); _dtbl[3] := evaln(_dtbl[3]); _dtbl[4] := 0; if _dtbl[1][4][10] = 1 then if _x0 <= procname("right") then try procname(procname("right")) catch:  end try end if; if procname("left") <= _x0 then try procname(procname("left")) catch:  end try end if end if end if; return  elif type(_xin, `=`) and lhs(_xin) = "eventfired" then if not type(rhs(_xin), 'list') then error "'eventfired' must be specified as a list" end if; if _nv = 0 then error "this solution has no events" end if; if _dtbl[4] <> 2 and _dtbl[4] <> 3 then error "'direction' must be set prior to calling/setting 'eventfired'" end if; _i := _dtbl[4]; _val := NULL; if not assigned(_EnvEventRetriggerWarned) then _EnvEventRetriggerWarned := false end if; for _k in rhs(_xin) do if type(_k, 'integer') then _src := _k elif type(_k, 'integer' = 'anything') and type(evalf(rhs(_k)), 'numeric') then _k := lhs(_k) = evalf[max(Digits, 18)](rhs(_k)); _src := lhs(_k) else error "'eventfired' entry is not valid: %1", _k end if; if _src < 1 or round(_dtbl[1][3][1][_nv+1, 1]) < _src then error "event identifiers must be integers in the range 1..%1", round(_dtbl[1][3][1][_nv+1, 1]) end if; _src := {seq(`if`(_dtbl[1][3][1][_j, 1]-_src = 0., _j, NULL), _j = 1 .. _nv)}; if nops(_src) <> 1 then error "'eventfired' can only be set/queried for root-finding events and time/interval events" end if; _src := _src[1]; if _dtbl[1][3][1][_src, 2] <> 0. and _dtbl[1][3][1][_src, 2]-2. <> 0. then error "'eventfired' can only be set/queried for root-finding events and time/interval events" elif irem(round(_dtbl[1][3][1][_src, 4]), 2) = 1 then if _EnvEventRetriggerWarned = false then WARNING(`'eventfired' has no effect on events that retrigger`) end if; _EnvEventRetriggerWarned := true end if; if _dtbl[_i][3][1][_src, 2] = 0 and irem(iquo(round(_dtbl[_i][3][1][_src, 4]), 32), 2) = 1 then _val := _val, undefined elif type(_dtbl[_i][3][4][_src, _i-1], 'undefined') or _i = 2 and _dtbl[2][3][1][_src, 8] < _dtbl[2][3][4][_src, 1] or _i = 3 and _dtbl[3][3][4][_src, 2] < _dtbl[3][3][1][_src, 8] then _val := _val, _dtbl[_i][3][1][_src, 8] else _val := _val, _dtbl[_i][3][4][_src, _i-1] end if; if type(_k, `=`) then if _dtbl[_i][3][1][_src, 2] = 0 and irem(iquo(round(_dtbl[_i][3][1][_src, 4]), 32), 2) = 1 then error "cannot set event code for a rate hysteresis event" end if; userinfo(3, {'events', 'eventreset'}, `manual set event code `, _src, ` to value `, rhs(_k)); _dtbl[_i][3][1][_src, 8] := rhs(_k); _dtbl[_i][3][4][_src, _i-1] := rhs(_k) end if end do; return [_val] elif type(_xin, `=`) and lhs(_xin) = "direction" then if not member(rhs(_xin), {-1, 1, ':-left', ':-right'}) then error "'direction' must be specified as either '1' or 'right' (positive) or '-1' or 'left' (negative)" end if; _src := `if`(_dtbl[4] = 2, -1, `if`(_dtbl[4] = 3, 1, undefined)); _i := `if`(member(rhs(_xin), {1, ':-right'}), 3, 2); _dtbl[4] := _i; _dtbl[_i] := `dsolve/numeric/SC/IVPdcopy`(_dtbl[1], `if`(assigned(_dtbl[_i]), _dtbl[_i], NULL)); if 0 < _nv then for _j to _nv+1 do if _j <= _nv and not type(_dtbl[_i][3][4][_j, _i-1], 'undefined') then userinfo(3, {'events', 'eventreset'}, `reinit #4, event code `, _j, ` to defined init `, _dtbl[_i][3][4][_j, _i-1]); _dtbl[_i][3][1][_j, 8] := _dtbl[_i][3][4][_j, _i-1] elif _dtbl[_i][3][1][_j, 2] = 0 and irem(iquo(round(_dtbl[_i][3][1][_j, 4]), 32), 2) = 1 then userinfo(3, {'events', 'eventreset'}, `reinit #4, event code `, _j, ` to rate hysteresis init `, _dtbl[_i][5][24]); _dtbl[_i][3][1][_j, 8] := _dtbl[_i][5][24] elif _dtbl[_i][3][1][_j, 2] = 0 and irem(iquo(round(_dtbl[_i][3][1][_j, 4]), 2), 2) = 0 then userinfo(3, {'events', 'eventreset'}, `reinit #4, event code `, _j, ` to initial init `, _x0); _dtbl[_i][3][1][_j, 8] := _x0 else userinfo(3, {'events', 'eventreset'}, `reinit #4, event code `, _j, ` to fireinitial init `, _x0-2*_i+5.0); _dtbl[_i][3][1][_j, 8] := _x0-2*_i+5.0 end if end do end if; return _src elif _xin = "eventcount" then if _dtbl[1][3][1] = 0 or _dtbl[4] <> 2 and _dtbl[4] <> 3 then return 0 else return round(_dtbl[_dtbl[4]][3][1][_nv+1, 12]) end if else return "procname" end if end if; if _xout = _x0 then return [_x0, seq(evalf(_dtbl[1][6][_vmap[_i]]), _i = 1 .. _n-_ne)] end if; _i := `if`(_x0 <= _xout, 3, 2); if _xin = "last" and 0 < _dtbl[_i][4][9] and _dtbl[_i][4][9] < 10 then _dat := eval(_dtbl[_i], 2); _j := _dat[4][20]; return [_dat[11][_j, 0], seq(_dat[11][_j, _vmap[_i]], _i = 1 .. _n-_ne-_nd), seq(_dat[8][1][_vmap[_i]], _i = _n-_ne-_nd+1 .. _n-_ne)] end if; if not type(_dtbl[_i], 'array') then _dtbl[_i] := `dsolve/numeric/SC/IVPdcopy`(_dtbl[1], `if`(assigned(_dtbl[_i]), _dtbl[_i], NULL)); if 0 < _nv then for _j to _nv+1 do if _j <= _nv and not type(_dtbl[_i][3][4][_j, _i-1], 'undefined') then userinfo(3, {'events', 'eventreset'}, `reinit #5, event code `, _j, ` to defined init `, _dtbl[_i][3][4][_j, _i-1]); _dtbl[_i][3][1][_j, 8] := _dtbl[_i][3][4][_j, _i-1] elif _dtbl[_i][3][1][_j, 2] = 0 and irem(iquo(round(_dtbl[_i][3][1][_j, 4]), 32), 2) = 1 then userinfo(3, {'events', 'eventreset'}, `reinit #5, event code `, _j, ` to rate hysteresis init `, _dtbl[_i][5][24]); _dtbl[_i][3][1][_j, 8] := _dtbl[_i][5][24] elif _dtbl[_i][3][1][_j, 2] = 0 and irem(iquo(round(_dtbl[_i][3][1][_j, 4]), 2), 2) = 0 then userinfo(3, {'events', 'eventreset'}, `reinit #5, event code `, _j, ` to initial init `, _x0); _dtbl[_i][3][1][_j, 8] := _x0 else userinfo(3, {'events', 'eventreset'}, `reinit #5, event code `, _j, ` to fireinitial init `, _x0-2*_i+5.0); _dtbl[_i][3][1][_j, 8] := _x0-2*_i+5.0 end if end do end if end if; if _xin <> "last" then if 0 < 0 then if `dsolve/numeric/checkglobals`(op(_dtbl[1][14]), _pars, _n, _y0) then `dsolve/numeric/SC/reinitialize`(_dtbl, _y0, _n, procname, _pars, _i) end if end if; if _dtbl[1][4][7] = 0 then error "parameters must be initialized before solution can be computed" end if end if; _dat := eval(_dtbl[_i], 2); _dtbl[4] := _i; try _src := `dsolve/numeric/SC/IVPrun`(_dat, _xout) catch: userinfo(2, `dsolve/debug`, print(`Exception in solnproc:`, [lastexception][2 .. -1])); error  end try; if _src = 0 and 10 < _dat[4][9] then _val := _dat[3][1][_nv+1, 8] else _val := _dat[11][_dat[4][20], 0] end if; if _src <> 0 or _dat[4][9] <= 0 then _dtbl[1][5][1] := _xout else _dtbl[1][5][1] := _val end if; if _i = 3 and _val < _xout then Rounding := -infinity; if _dat[4][9] = 1 then error "cannot evaluate the solution further right of %1, probably a singularity", evalf[8](_val) elif _dat[4][9] = 2 then error "cannot evaluate the solution further right of %1, maxfun limit exceeded (see <a href='http://www.maplesoft.com/support/help/search.aspx?term=dsolve,maxfun' target='_new'>?dsolve,maxfun</a> for details)", evalf[8](_val) elif _dat[4][9] = 3 then if _dat[4][25] = 3 then error "cannot evaluate the solution past the initial point, problem may be initially singular or improperly set up" else error "cannot evaluate the solution past the initial point, problem may be complex, initially singular or improperly set up" end if elif _dat[4][9] = 4 then error "cannot evaluate the solution further right of %1, accuracy goal cannot be achieved with specified 'minstep'", evalf[8](_val) elif _dat[4][9] = 5 then error "cannot evaluate the solution further right of %1, too many step failures, tolerances may be too loose for problem", evalf[8](_val) elif 10 < _dat[4][9] then if _dat[4][9]-10 = _nv+1 then error "constraint projection failure on event at t=%1", evalf[8](_val) elif _dat[4][9]-10 = _nv+2 then error "index-1 and derivative evaluation failure on event at t=%1", evalf[8](_val) elif _dat[4][9]-10 = _nv+3 then error "maximum number of event iterations reached (%1) at t=%2", round(_dat[3][1][_nv+1, 3]), evalf[8](_val) else if _Env_dsolve_nowarnstop <> true then `dsolve/numeric/warning`(StringTools:-FormatMessage("cannot evaluate the solution further right of %1, event #%2 triggered a halt", evalf[8](_val), round(_dat[3][1][_dat[4][9]-10, 1]))) end if; Rounding := 'nearest'; _xout := _val end if else error "cannot evaluate the solution further right of %1", evalf[8](_val) end if elif _i = 2 and _xout < _val then Rounding := infinity; if _dat[4][9] = 1 then error "cannot evaluate the solution further left of %1, probably a singularity", evalf[8](_val) elif _dat[4][9] = 2 then error "cannot evaluate the solution further left of %1, maxfun limit exceeded (see <a href='http://www.maplesoft.com/support/help/search.aspx?term=dsolve,maxfun' target='_new'>?dsolve,maxfun</a> for details)", evalf[8](_val) elif _dat[4][9] = 3 then if _dat[4][25] = 3 then error "cannot evaluate the solution past the initial point, problem may be initially singular or improperly set up" else error "cannot evaluate the solution past the initial point, problem may be complex, initially singular or improperly set up" end if elif _dat[4][9] = 4 then error "cannot evaluate the solution further left of %1, accuracy goal cannot be achieved with specified 'minstep'", evalf[8](_val) elif _dat[4][9] = 5 then error "cannot evaluate the solution further left of %1, too many step failures, tolerances may be too loose for problem", evalf[8](_val) elif 10 < _dat[4][9] then if _dat[4][9]-10 = _nv+1 then error "constraint projection failure on event at t=%1", evalf[8](_val) elif _dat[4][9]-10 = _nv+2 then error "index-1 and derivative evaluation failure on event at t=%1", evalf[8](_val) elif _dat[4][9]-10 = _nv+3 then error "maximum number of event iterations reached (%1) at t=%2", round(_dat[3][1][_nv+1, 3]), evalf[8](_val) else if _Env_dsolve_nowarnstop <> true then `dsolve/numeric/warning`(StringTools:-FormatMessage("cannot evaluate the solution further left of %1, event #%2 triggered a halt", evalf[8](_val), round(_dat[3][1][_dat[4][9]-10, 1]))) end if; Rounding := 'nearest'; _xout := _val end if else error "cannot evaluate the solution further left of %1", evalf[8](_val) end if end if; if _EnvInFsolve = true then _dig := _dat[4][26]; _dat[4][26] := _EnvDSNumericSaveDigits; _Env_dsolve_SC_native := true; if _dat[4][25] = 1 then _i := 1; _dat[4][25] := 2 else _i := _dat[4][25] end if; _val := `dsolve/numeric/SC/IVPval`(_dat, _xout, _src); _dat[4][25] := _i; _dat[4][26] := _dig; [_xout, seq(_val[_vmap[_i]], _i = 1 .. _n-_ne)] else Digits := _dat[4][26]; _val := `dsolve/numeric/SC/IVPval`(eval(_dat, 2), _xout, _src); [_xout, seq(_val[_vmap[_i]], _i = 1 .. _n-_ne)] end if end proc, (2) = Array(0..0, {}), (3) = [t, y1(t), y2(t), y3(t)], (4) = []}); _vars := _dat[3]; _pars := map(rhs, _dat[4]); _n := nops(_vars)-1; _solnproc := _dat[1]; if not type(_xout, 'numeric') then if member(x_rkf45, ["start", 'start', "method", 'method', "left", 'left', "right", 'right', "leftdata", "rightdata", "enginedata", "eventstop", 'eventstop', "eventclear", 'eventclear', "eventstatus", 'eventstatus', "eventcount", 'eventcount', "laxtol", 'laxtol', "numfun", 'numfun', NULL]) then _res := _solnproc(convert(x_rkf45, 'string')); if 1 < nops([_res]) then return _res elif type(_res, 'array') then return eval(_res, 1) elif _res <> "procname" then return _res end if elif member(x_rkf45, ["last", 'last', "initial", 'initial', "parameters", 'parameters', "initial_and_parameters", 'initial_and_parameters', NULL]) then _xout := convert(x_rkf45, 'string'); _res := _solnproc(_xout); if _xout = "parameters" then return [seq(_pars[_i] = _res[_i], _i = 1 .. nops(_pars))] elif _xout = "initial_and_parameters" then return [seq(_vars[_i+1] = [_res][1][_i+1], _i = 0 .. _n), seq(_pars[_i] = [_res][2][_i], _i = 1 .. nops(_pars))] else return [seq(_vars[_i+1] = _res[_i+1], _i = 0 .. _n)] end if elif type(_xout, `=`) and member(lhs(_xout), ["initial", 'initial', "parameters", 'parameters', "initial_and_parameters", 'initial_and_parameters', NULL]) then _xout := convert(lhs(x_rkf45), 'string') = rhs(x_rkf45); if type(rhs(_xout), 'list') then _res := _solnproc(_xout) else error "initial and/or parameter values must be specified in a list" end if; if lhs(_xout) = "initial" then return [seq(_vars[_i+1] = _res[_i+1], _i = 0 .. _n)] elif lhs(_xout) = "parameters" then return [seq(_pars[_i] = _res[_i], _i = 1 .. nops(_pars))] else return [seq(_vars[_i+1] = [_res][1][_i+1], _i = 0 .. _n), seq(_pars[_i] = [_res][2][_i], _i = 1 .. nops(_pars))] end if elif type(_xout, `=`) and member(lhs(_xout), ["eventdisable", 'eventdisable', "eventenable", 'eventenable', "eventfired", 'eventfired', "direction", 'direction', NULL]) then return _solnproc(convert(lhs(x_rkf45), 'string') = rhs(x_rkf45)) elif _xout = "solnprocedure" then return eval(_solnproc) elif _xout = "sysvars" then return _vars end if; if procname <> unknown then return ('procname')(x_rkf45) else _ndsol; _ndsol := pointto(_dat[2][0]); return ('_ndsol')(x_rkf45) end if end if; try _res := _solnproc(_xout); [seq(_vars[_i+1] = _res[_i+1], _i = 0 .. _n)] catch: error  end try end proc

(2)

odeplot(Sol, [t, abs(y2(t)-y3(t))], t = 0 .. 10)

 

``

 

Download DsolveSolCompare.mw

 

Suppose (1 + 2x)^n = a0 + a1*x + a2*x^2+...+an*x^n.

I want to find value of n so that max(a0, a1, ..., an) is a8

I tried directly. 

With n = 12

restart:
A:=expand((1+2*x)^12,x);
max(coeffs(A));

And with n = 11

B:=expand((1+2*x)^11,x);
max(coeffs(B));


Therefore,  n = 12 or  n = 11. 

How can I solve the problem with Maple?

 Hello everybody, I need help please   

 


restart:with(plots):

mb:=765; mp:=587;Ib:=76.3*10^3;Ip:=7.3*10^3; l:=0.92; d:=10; F:=-1.2; omega:=0.43;g:=9.81;ly:=3;k:=0.02001014429;

765

 

587

 

76300.0

 

7300.0

 

.92

 

10

 

-1.2

 

.43

 

9.81

 

3

 

0.2001014429e-1

(1)

A:=168913.8672;

168913.8672

(2)

s:=0.0666666666667;

0.666666666667e-1

(3)

n:=49.97465213;

49.97465213

(4)

eq1:=(mp+mb)*diff(x(t),t$2)+mp*(d*cos(theta(t))+l*cos(alpha(t)+theta(t)))*diff(theta(t),t$2)+mp*l*cos(alpha(t)+theta(t))*diff(alpha(t),t$2)+mp*(d*diff(theta(t),t)^2*sin(theta(t))+l*(diff(theta(t),t)+diff(alpha(t),t))^2*sin(alpha(t)+theta(t)))+A*2*(s*sinh(k*ly+k*ly)*sin(omega*t-k*x(t)))=0;

1352*(diff(diff(x(t), t), t))+587*(10*cos(theta(t))+.92*cos(alpha(t)+theta(t)))*(diff(diff(theta(t), t), t))+540.04*cos(alpha(t)+theta(t))*(diff(diff(alpha(t), t), t))+5870*(diff(theta(t), t))^2*sin(theta(t))+540.04*(diff(theta(t), t)+diff(alpha(t), t))^2*sin(alpha(t)+theta(t))+2710.493534*sin(.43*t-0.2001014429e-1*x(t)) = 0

(5)

eq2:=(mp+mb)*diff(z(t),t$2)-mp*d*(sin(theta(t)+alpha(t))+sin(theta(t)))*diff(theta(t),t$2)-mp*l*sin(alpha(t)+theta(t))*diff(alpha(t),t$2)+mp*(d*diff(theta(t),t)^2*cos(theta(t))+l*(diff(theta(t),t)+diff(alpha(t),t))^2*cos(alpha(t)+theta(t)))+9.81*(mp+mb)+1000*g*z(t)*15.3*30+A*cosh(k*ly+k*z(t))*n*(cos(omega*t-k*15)-cos(omega*t+k*15))=0;

1352*(diff(diff(z(t), t), t))-5870*(sin(alpha(t)+theta(t))+sin(theta(t)))*(diff(diff(theta(t), t), t))-540.04*sin(alpha(t)+theta(t))*(diff(diff(alpha(t), t), t))+5870*(diff(theta(t), t))^2*cos(theta(t))+540.04*(diff(theta(t), t)+diff(alpha(t), t))^2*cos(alpha(t)+theta(t))+13263.12+4502790.000*z(t)+8441411.753*cosh(0.6003043287e-1+0.2001014429e-1*z(t))*(cos(.43*t-.3001521644)-cos(.43*t+.3001521644)) = 0

(6)

eq3:=mp*(d*cos(theta(t))+l*cos(alpha(t)+theta(t)))*diff(x(t),t$2)-mp*(l*sin(theta(t)+alpha(t))+d*sin(theta(t)))*diff(z(t),t$2)+(Ip+Ib+mp*(d^2+l^2)+2*mp*d*l*cos(alpha(t)))*diff(theta(t),t$2)+(Ip+mp*l^2+mp*d*l*cos(alpha(t)))*diff(alpha(t),t$2)-mp*sin(alpha(t))*(l*d*diff(alpha(t),t)^2-l*d*(diff(alpha(t),t)+diff(theta(t),t))^2)+mp*9.81*l*sin(alpha(t)+theta(t))+mp*9.81*d*sin(theta(t))=0;

587*(10*cos(theta(t))+.92*cos(alpha(t)+theta(t)))*(diff(diff(x(t), t), t))-587*(.92*sin(alpha(t)+theta(t))+10*sin(theta(t)))*(diff(diff(z(t), t), t))+(142796.8368+10800.80*cos(alpha(t)))*(diff(diff(theta(t), t), t))+(7796.8368+5400.40*cos(alpha(t)))*(diff(diff(alpha(t), t), t))-587*sin(alpha(t))*(9.20*(diff(alpha(t), t))^2-9.20*(diff(theta(t), t)+diff(alpha(t), t))^2)+5297.7924*sin(alpha(t)+theta(t))+57584.70*sin(theta(t)) = 0

(7)

eq4:=mp*l*cos(alpha(t)+theta(t))*diff(x(t),t$2)-mp*l*sin(alpha(t)+theta(t))*diff(z(t),t$2)+(Ip+mp*l^2+mp*d*l*cos(alpha(t)))*diff(theta(t),t$2)+(Ip+mp*l^2)*diff(alpha(t),t$2)-mp*9.81*l*sin(alpha(t)+theta(t))+l*d*mp*diff(theta(t),t$1)^2*sin(alpha(t))=0;

540.04*cos(alpha(t)+theta(t))*(diff(diff(x(t), t), t))-540.04*sin(alpha(t)+theta(t))*(diff(diff(z(t), t), t))+(7796.8368+5400.40*cos(alpha(t)))*(diff(diff(theta(t), t), t))+7796.8368*(diff(diff(alpha(t), t), t))-5297.7924*sin(alpha(t)+theta(t))+5400.40*(diff(theta(t), t))^2*sin(alpha(t)) = 0

(8)

CI:= x(0)=0,z(0)=0,theta(0)=0,alpha(0)=0,D(x)(0)=0,D(alpha)(0)=0,D(z)(0)=0,D(theta)(0)=0;

x(0) = 0, z(0) = 0, theta(0) = 0, alpha(0) = 0, (D(x))(0) = 0, (D(alpha))(0) = 0, (D(z))(0) = 0, (D(theta))(0) = 0

(9)

solution:=dsolve([eq1,eq2,eq3,eq4,CI],numeric,maxfun=100000);

proc (x_rkf45) local _res, _dat, _vars, _solnproc, _xout, _ndsol, _pars, _n, _i; option `Copyright (c) 2000 by Waterloo Maple Inc. All rights reserved.`; if 1 < nargs then error "invalid input: too many arguments" end if; _EnvDSNumericSaveDigits := Digits; Digits := 15; if _EnvInFsolve = true then _xout := evalf[_EnvDSNumericSaveDigits](x_rkf45) else _xout := evalf(x_rkf45) end if; _dat := Array(1..4, {(1) = proc (_xin) local _xout, _dtbl, _dat, _vmap, _x0, _y0, _val, _dig, _n, _ne, _nd, _nv, _pars, _ini, _par, _i, _j, _k, _src; option `Copyright (c) 2002 by Waterloo Maple Inc. All rights reserved.`; table( [( "complex" ) = false ] ) _xout := _xin; _pars := []; _dtbl := array( 1 .. 4, [( 1 ) = (array( 1 .. 20, [( 1 ) = (datatype = float[8], order = C_order, storage = rectangular), ( 2 ) = (datatype = float[8], order = C_order, storage = rectangular), ( 3 ) = ([0, 0, 0, Array(1..0, 1..2, {}, datatype = float[8], order = C_order)]), ( 5 ) = (Array(1..28, {(1) = .0, (2) = 0.10e-5, (3) = .0, (4) = 0.500001e-14, (5) = .0, (6) = 0.5145421769461311e-3, (7) = .0, (8) = 0.10e-5, (9) = .0, (10) = .0, (11) = .0, (12) = .0, (13) = 1.0, (14) = .0, (15) = .49999999999999, (16) = .0, (17) = 1.0, (18) = 1.0, (19) = .0, (20) = .0, (21) = 1.0, (22) = 1.0, (23) = .0, (24) = .0, (25) = 0.10e-14, (26) = .0, (27) = .0, (28) = .0}, datatype = float[8], order = C_order)), ( 4 ) = (Array(1..53, {(1) = 8, (2) = 8, (3) = 0, (4) = 0, (5) = 0, (6) = 0, (7) = 1, (8) = 0, (9) = 0, (10) = 0, (11) = 0, (12) = 0, (13) = 0, (14) = 0, (15) = 0, (16) = 0, (17) = 0, (18) = 1, (19) = 100000, (20) = 0, (21) = 0, (22) = 1, (23) = 4, (24) = 0, (25) = 1, (26) = 15, (27) = 1, (28) = 0, (29) = 1, (30) = 3, (31) = 3, (32) = 0, (33) = 1, (34) = 0, (35) = 0, (36) = 0, (37) = 0, (38) = 0, (39) = 0, (40) = 0, (41) = 0, (42) = 0, (43) = 1, (44) = 0, (45) = 0, (46) = 0, (47) = 0, (48) = 0, (49) = 0, (50) = 50, (51) = 1, (52) = 0, (53) = 0}, datatype = integer[4])), ( 7 ) = ([Array(1..4, 1..7, {(1, 1) = .0, (1, 2) = .203125, (1, 3) = .3046875, (1, 4) = .75, (1, 5) = .8125, (1, 6) = .40625, (1, 7) = .8125, (2, 1) = 0.6378173828125e-1, (2, 2) = .0, (2, 3) = .279296875, (2, 4) = .27237892150878906, (2, 5) = -0.9686851501464844e-1, (2, 6) = 0.1956939697265625e-1, (2, 7) = .5381584167480469, (3, 1) = 0.31890869140625e-1, (3, 2) = .0, (3, 3) = -.34375, (3, 4) = -.335235595703125, (3, 5) = .2296142578125, (3, 6) = .41748046875, (3, 7) = 11.480712890625, (4, 1) = 0.9710520505905151e-1, (4, 2) = .0, (4, 3) = .40350341796875, (4, 4) = 0.20297467708587646e-1, (4, 5) = -0.6054282188415527e-2, (4, 6) = -0.4770040512084961e-1, (4, 7) = .77858567237854}, datatype = float[8], order = C_order), Array(1..6, 1..6, {(1, 1) = .0, (1, 2) = .0, (1, 3) = .0, (1, 4) = .0, (1, 5) = .0, (1, 6) = 1.0, (2, 1) = .25, (2, 2) = .0, (2, 3) = .0, (2, 4) = .0, (2, 5) = .0, (2, 6) = 1.0, (3, 1) = .1875, (3, 2) = .5625, (3, 3) = .0, (3, 4) = .0, (3, 5) = .0, (3, 6) = 2.0, (4, 1) = .23583984375, (4, 2) = -.87890625, (4, 3) = .890625, (4, 4) = .0, (4, 5) = .0, (4, 6) = .2681884765625, (5, 1) = .1272735595703125, (5, 2) = -.5009765625, (5, 3) = .44921875, (5, 4) = -0.128936767578125e-1, (5, 5) = .0, (5, 6) = 0.626220703125e-1, (6, 1) = -0.927734375e-1, (6, 2) = .626220703125, (6, 3) = -.4326171875, (6, 4) = .1418304443359375, (6, 5) = -0.861053466796875e-1, (6, 6) = .3131103515625}, datatype = float[8], order = C_order), Array(1..6, {(1) = .0, (2) = .386, (3) = .21, (4) = .63, (5) = 1.0, (6) = 1.0}, datatype = float[8], order = C_order), Array(1..6, {(1) = .25, (2) = -.1043, (3) = .1035, (4) = -0.362e-1, (5) = .0, (6) = .0}, datatype = float[8], order = C_order), Array(1..6, 1..5, {(1, 1) = .0, (1, 2) = .0, (1, 3) = .0, (1, 4) = .0, (1, 5) = .0, (2, 1) = 1.544, (2, 2) = .0, (2, 3) = .0, (2, 4) = .0, (2, 5) = .0, (3, 1) = .9466785280815533, (3, 2) = .25570116989825814, (3, 3) = .0, (3, 4) = .0, (3, 5) = .0, (4, 1) = 3.3148251870684886, (4, 2) = 2.896124015972123, (4, 3) = .9986419139977808, (4, 4) = .0, (4, 5) = .0, (5, 1) = 1.2212245092262748, (5, 2) = 6.019134481287752, (5, 3) = 12.537083329320874, (5, 4) = -.687886036105895, (5, 5) = .0, (6, 1) = 1.2212245092262748, (6, 2) = 6.019134481287752, (6, 3) = 12.537083329320874, (6, 4) = -.687886036105895, (6, 5) = 1.0}, datatype = float[8], order = C_order), Array(1..6, 1..5, {(1, 1) = .0, (1, 2) = .0, (1, 3) = .0, (1, 4) = .0, (1, 5) = .0, (2, 1) = -5.6688, (2, 2) = .0, (2, 3) = .0, (2, 4) = .0, (2, 5) = .0, (3, 1) = -2.4300933568337584, (3, 2) = -.20635991570891224, (3, 3) = .0, (3, 4) = .0, (3, 5) = .0, (4, 1) = -.10735290581452621, (4, 2) = -9.594562251021896, (4, 3) = -20.470286148096154, (4, 4) = .0, (4, 5) = .0, (5, 1) = 7.496443313968615, (5, 2) = -10.246804314641219, (5, 3) = -33.99990352819906, (5, 4) = 11.708908932061595, (5, 5) = .0, (6, 1) = 8.083246795922411, (6, 2) = -7.981132988062785, (6, 3) = -31.52159432874373, (6, 4) = 16.319305431231363, (6, 5) = -6.0588182388340535}, datatype = float[8], order = C_order), Array(1..3, 1..5, {(1, 1) = .0, (1, 2) = .0, (1, 3) = .0, (1, 4) = .0, (1, 5) = .0, (2, 1) = 10.126235083446911, (2, 2) = -7.487995877607633, (2, 3) = -34.800918615557414, (2, 4) = -7.9927717075687275, (2, 5) = 1.0251377232956207, (3, 1) = -.6762803392806898, (3, 2) = 6.087714651678606, (3, 3) = 16.43084320892463, (3, 4) = 24.767225114183653, (3, 5) = -6.5943891257167815}, datatype = float[8], order = C_order)]), ( 6 ) = (Array(1..8, {(1) = .0, (2) = .0, (3) = .0, (4) = .0, (5) = .0, (6) = .0, (7) = .0, (8) = .0}, datatype = float[8], order = C_order)), ( 10 ) = ([proc (N, X, Y, YP) option `[Y[1] = alpha(t), Y[2] = diff(alpha(t),t), Y[3] = theta(t), Y[4] = diff(theta(t),t), Y[5] = x(t), Y[6] = diff(x(t),t), Y[7] = z(t), Y[8] = diff(z(t),t)]`; YP[2] := (540.04*(5870*cos(Y[3])+540.04*cos(Y[1]+Y[3]))*cos(Y[1]+Y[3])*(-540.04*sin(Y[1]+Y[3])-5870*sin(Y[3]))*(5870*Y[4]^2*cos(Y[3])+540.04*(Y[4]+Y[2])^2*cos(Y[1]+Y[3])+13263.12+4502790.000*Y[7]+8441411.753*cosh(0.6003043287e-1+0.2001014429e-1*Y[7])*(cos(.43*X-.3001521644)-cos(.43*X+.3001521644)))-730134.08*(5870*cos(Y[3])+540.04*cos(Y[1]+Y[3]))*cos(Y[1]+Y[3])*(-587*sin(Y[1])*(9.20*Y[2]^2-9.20*(Y[4]+Y[2])^2)+5297.7924*sin(Y[1]+Y[3])+57584.70*sin(Y[3]))+540.04*(5870*cos(Y[3])+540.04*cos(Y[1]+Y[3]))^2*sin(Y[1]+Y[3])*(5870*Y[4]^2*cos(Y[3])+540.04*(Y[4]+Y[2])^2*cos(Y[1]+Y[3])+13263.12+4502790.000*Y[7]+8441411.753*cosh(0.6003043287e-1+0.2001014429e-1*Y[7])*(cos(.43*X-.3001521644)-cos(.43*X+.3001521644)))+1352*(5870*cos(Y[3])+540.04*cos(Y[1]+Y[3]))^2*(-5297.7924*sin(Y[1]+Y[3])+5400.40*Y[4]^2*sin(Y[1]))-1352*(7796.8368+5400.40*cos(Y[1]))*(-540.04*sin(Y[1]+Y[3])-5870*sin(Y[3]))*(5870*Y[4]^2*cos(Y[3])+540.04*(Y[4]+Y[2])^2*cos(Y[1]+Y[3])+13263.12+4502790.000*Y[7]+8441411.753*cosh(0.6003043287e-1+0.2001014429e-1*Y[7])*(cos(.43*X-.3001521644)-cos(.43*X+.3001521644)))+1827904*(7796.8368+5400.40*cos(Y[1]))*(-587*sin(Y[1])*(9.20*Y[2]^2-9.20*(Y[4]+Y[2])^2)+5297.7924*sin(Y[1]+Y[3])+57584.70*sin(Y[3]))-730134.08*sin(Y[1]+Y[3])*(142796.8368+10800.80*cos(Y[1]))*(5870*Y[4]^2*cos(Y[3])+540.04*(Y[4]+Y[2])^2*cos(Y[1]+Y[3])+13263.12+4502790.000*Y[7]+8441411.753*cosh(0.6003043287e-1+0.2001014429e-1*Y[7])*(cos(.43*X-.3001521644)-cos(.43*X+.3001521644)))+730134.08*sin(Y[1]+Y[3])*(-587*sin(Y[1])*(9.20*Y[2]^2-9.20*(Y[4]+Y[2])^2)+5297.7924*sin(Y[1]+Y[3])+57584.70*sin(Y[3]))*(-5870*sin(Y[1]+Y[3])-5870*sin(Y[3]))-1827904*(-5297.7924*sin(Y[1]+Y[3])+5400.40*Y[4]^2*sin(Y[1]))*(142796.8368+10800.80*cos(Y[1]))+1352*(-5297.7924*sin(Y[1]+Y[3])+5400.40*Y[4]^2*sin(Y[1]))*(-540.04*sin(Y[1]+Y[3])-5870*sin(Y[3]))*(-5870*sin(Y[1]+Y[3])-5870*sin(Y[3]))-1352*(5870*Y[4]^2*sin(Y[3])+540.04*(Y[4]+Y[2])^2*sin(Y[1]+Y[3])+2710.493534*sin(.43*X-0.2001014429e-1*Y[5]))*(7796.8368+5400.40*cos(Y[1]))*(5870*cos(Y[3])+540.04*cos(Y[1]+Y[3]))+730134.08*(5870*Y[4]^2*sin(Y[3])+540.04*(Y[4]+Y[2])^2*sin(Y[1]+Y[3])+2710.493534*sin(.43*X-0.2001014429e-1*Y[5]))*cos(Y[1]+Y[3])*(142796.8368+10800.80*cos(Y[1]))-540.04*(5870*Y[4]^2*sin(Y[3])+540.04*(Y[4]+Y[2])^2*sin(Y[1]+Y[3])+2710.493534*sin(.43*X-0.2001014429e-1*Y[5]))*cos(Y[1]+Y[3])*(-540.04*sin(Y[1]+Y[3])-5870*sin(Y[3]))*(-5870*sin(Y[1]+Y[3])-5870*sin(Y[3]))-540.04*(5870*Y[4]^2*sin(Y[3])+540.04*(Y[4]+Y[2])^2*sin(Y[1]+Y[3])+2710.493534*sin(.43*X-0.2001014429e-1*Y[5]))*sin(Y[1]+Y[3])*(5870*cos(Y[3])+540.04*cos(Y[1]+Y[3]))*(-5870*sin(Y[1]+Y[3])-5870*sin(Y[3])))/(1460268.16*cos(Y[1]+Y[3])*(7796.8368+5400.40*cos(Y[1]))*(5870*cos(Y[3])+540.04*cos(Y[1]+Y[3]))-394301608.5632*cos(Y[1]+Y[3])^2*(142796.8368+10800.80*cos(Y[1]))+291643.2016*cos(Y[1]+Y[3])^2*(-540.04*sin(Y[1]+Y[3])-5870*sin(Y[3]))*(-5870*sin(Y[1]+Y[3])-5870*sin(Y[3]))+291643.2016*cos(Y[1]+Y[3])*sin(Y[1]+Y[3])*(5870*cos(Y[3])+540.04*cos(Y[1]+Y[3]))*(-5870*sin(Y[1]+Y[3])-5870*sin(Y[3]))-10541323.3536*(5870*cos(Y[3])+540.04*cos(Y[1]+Y[3]))^2+291643.2016*(5870*cos(Y[3])+540.04*cos(Y[1]+Y[3]))*cos(Y[1]+Y[3])*(-540.04*sin(Y[1]+Y[3])-5870*sin(Y[3]))*sin(Y[1]+Y[3])+291643.2016*(5870*cos(Y[3])+540.04*cos(Y[1]+Y[3]))^2*sin(Y[1]+Y[3])^2+2035121836544224.7506+153931588575265.01376*cos(Y[1])-10541323.3536*(-540.04*sin(Y[1]+Y[3])-5870*sin(Y[3]))*(-5870*sin(Y[1]+Y[3])-5870*sin(Y[3]))-1827904*(7796.8368+5400.40*cos(Y[1]))^2-730134.08*(7796.8368+5400.40*cos(Y[1]))*(-540.04*sin(Y[1]+Y[3])-5870*sin(Y[3]))*sin(Y[1]+Y[3])-730134.08*sin(Y[1]+Y[3])*(7796.8368+5400.40*cos(Y[1]))*(-5870*sin(Y[1]+Y[3])-5870*sin(Y[3]))-394301608.5632*sin(Y[1]+Y[3])^2*(142796.8368+10800.80*cos(Y[1]))); YP[4] := -(291643.2016*cos(Y[1]+Y[3])^2*(-540.04*sin(Y[1]+Y[3])-5870*sin(Y[3]))*(5870*Y[4]^2*cos(Y[3])+540.04*(Y[4]+Y[2])^2*cos(Y[1]+Y[3])+13263.12+4502790.000*Y[7]+8441411.753*cosh(0.6003043287e-1+0.2001014429e-1*Y[7])*(cos(.43*X-.3001521644)-cos(.43*X+.3001521644)))-394301608.5632*cos(Y[1]+Y[3])^2*(-587*sin(Y[1])*(9.20*Y[2]^2-9.20*(Y[4]+Y[2])^2)+5297.7924*sin(Y[1]+Y[3])+57584.70*sin(Y[3]))+291643.2016*cos(Y[1]+Y[3])*sin(Y[1]+Y[3])*(5870*cos(Y[3])+540.04*cos(Y[1]+Y[3]))*(5870*Y[4]^2*cos(Y[3])+540.04*(Y[4]+Y[2])^2*cos(Y[1]+Y[3])+13263.12+4502790.000*Y[7]+8441411.753*cosh(0.6003043287e-1+0.2001014429e-1*Y[7])*(cos(.43*X-.3001521644)-cos(.43*X+.3001521644)))+730134.08*cos(Y[1]+Y[3])*(-5297.7924*sin(Y[1]+Y[3])+5400.40*Y[4]^2*sin(Y[1]))*(5870*cos(Y[3])+540.04*cos(Y[1]+Y[3]))-10541323.3536*(-540.04*sin(Y[1]+Y[3])-5870*sin(Y[3]))*(5870*Y[4]^2*cos(Y[3])+540.04*(Y[4]+Y[2])^2*cos(Y[1]+Y[3])+13263.12+4502790.000*Y[7]+8441411.753*cosh(0.6003043287e-1+0.2001014429e-1*Y[7])*(cos(.43*X-.3001521644)-cos(.43*X+.3001521644)))-8365847205177.4464*sin(Y[1])*(9.20*Y[2]^2-9.20*(Y[4]+Y[2])^2)+75503444196167.489249*sin(Y[1]+Y[3])+820689610827907.49184*sin(Y[3])-730134.08*sin(Y[1]+Y[3])*(7796.8368+5400.40*cos(Y[1]))*(5870*Y[4]^2*cos(Y[3])+540.04*(Y[4]+Y[2])^2*cos(Y[1]+Y[3])+13263.12+4502790.000*Y[7]+8441411.753*cosh(0.6003043287e-1+0.2001014429e-1*Y[7])*(cos(.43*X-.3001521644)-cos(.43*X+.3001521644)))-394301608.5632*sin(Y[1]+Y[3])^2*(-587*sin(Y[1])*(9.20*Y[2]^2-9.20*(Y[4]+Y[2])^2)+5297.7924*sin(Y[1]+Y[3])+57584.70*sin(Y[3]))-1827904*(-5297.7924*sin(Y[1]+Y[3])+5400.40*Y[4]^2*sin(Y[1]))*(7796.8368+5400.40*cos(Y[1]))-730134.08*(-5297.7924*sin(Y[1]+Y[3])+5400.40*Y[4]^2*sin(Y[1]))*(-540.04*sin(Y[1]+Y[3])-5870*sin(Y[3]))*sin(Y[1]+Y[3])-10541323.3536*(5870*Y[4]^2*sin(Y[3])+540.04*(Y[4]+Y[2])^2*sin(Y[1]+Y[3])+2710.493534*sin(.43*X-0.2001014429e-1*Y[5]))*(5870*cos(Y[3])+540.04*cos(Y[1]+Y[3]))+730134.08*(5870*Y[4]^2*sin(Y[3])+540.04*(Y[4]+Y[2])^2*sin(Y[1]+Y[3])+2710.493534*sin(.43*X-0.2001014429e-1*Y[5]))*cos(Y[1]+Y[3])*(7796.8368+5400.40*cos(Y[1]))+291643.2016*(5870*Y[4]^2*sin(Y[3])+540.04*(Y[4]+Y[2])^2*sin(Y[1]+Y[3])+2710.493534*sin(.43*X-0.2001014429e-1*Y[5]))*cos(Y[1]+Y[3])*(-540.04*sin(Y[1]+Y[3])-5870*sin(Y[3]))*sin(Y[1]+Y[3])+291643.2016*(5870*Y[4]^2*sin(Y[3])+540.04*(Y[4]+Y[2])^2*sin(Y[1]+Y[3])+2710.493534*sin(.43*X-0.2001014429e-1*Y[5]))*sin(Y[1]+Y[3])^2*(5870*cos(Y[3])+540.04*cos(Y[1]+Y[3])))/(1460268.16*cos(Y[1]+Y[3])*(7796.8368+5400.40*cos(Y[1]))*(5870*cos(Y[3])+540.04*cos(Y[1]+Y[3]))-394301608.5632*cos(Y[1]+Y[3])^2*(142796.8368+10800.80*cos(Y[1]))+291643.2016*cos(Y[1]+Y[3])^2*(-540.04*sin(Y[1]+Y[3])-5870*sin(Y[3]))*(-5870*sin(Y[1]+Y[3])-5870*sin(Y[3]))+291643.2016*cos(Y[1]+Y[3])*sin(Y[1]+Y[3])*(5870*cos(Y[3])+540.04*cos(Y[1]+Y[3]))*(-5870*sin(Y[1]+Y[3])-5870*sin(Y[3]))-10541323.3536*(5870*cos(Y[3])+540.04*cos(Y[1]+Y[3]))^2+291643.2016*(5870*cos(Y[3])+540.04*cos(Y[1]+Y[3]))*cos(Y[1]+Y[3])*(-540.04*sin(Y[1]+Y[3])-5870*sin(Y[3]))*sin(Y[1]+Y[3])+291643.2016*(5870*cos(Y[3])+540.04*cos(Y[1]+Y[3]))^2*sin(Y[1]+Y[3])^2+2035121836544224.7506+153931588575265.01376*cos(Y[1])-10541323.3536*(-540.04*sin(Y[1]+Y[3])-5870*sin(Y[3]))*(-5870*sin(Y[1]+Y[3])-5870*sin(Y[3]))-1827904*(7796.8368+5400.40*cos(Y[1]))^2-730134.08*(7796.8368+5400.40*cos(Y[1]))*(-540.04*sin(Y[1]+Y[3])-5870*sin(Y[3]))*sin(Y[1]+Y[3])-730134.08*sin(Y[1]+Y[3])*(7796.8368+5400.40*cos(Y[1]))*(-5870*sin(Y[1]+Y[3])-5870*sin(Y[3]))-394301608.5632*sin(Y[1]+Y[3])^2*(142796.8368+10800.80*cos(Y[1]))); YP[6] := (540.04*cos(Y[1]+Y[3])*(7796.8368+5400.40*cos(Y[1]))*(-540.04*sin(Y[1]+Y[3])-5870*sin(Y[3]))*(5870*Y[4]^2*cos(Y[3])+540.04*(Y[4]+Y[2])^2*cos(Y[1]+Y[3])+13263.12+4502790.000*Y[7]+8441411.753*cosh(0.6003043287e-1+0.2001014429e-1*Y[7])*(cos(.43*X-.3001521644)-cos(.43*X+.3001521644)))-730134.08*cos(Y[1]+Y[3])*(7796.8368+5400.40*cos(Y[1]))*(-587*sin(Y[1])*(9.20*Y[2]^2-9.20*(Y[4]+Y[2])^2)+5297.7924*sin(Y[1]+Y[3])+57584.70*sin(Y[3]))+291643.2016*cos(Y[1]+Y[3])*sin(Y[1]+Y[3])*(142796.8368+10800.80*cos(Y[1]))*(5870*Y[4]^2*cos(Y[3])+540.04*(Y[4]+Y[2])^2*cos(Y[1]+Y[3])+13263.12+4502790.000*Y[7]+8441411.753*cosh(0.6003043287e-1+0.2001014429e-1*Y[7])*(cos(.43*X-.3001521644)-cos(.43*X+.3001521644)))-291643.2016*cos(Y[1]+Y[3])*sin(Y[1]+Y[3])*(-587*sin(Y[1])*(9.20*Y[2]^2-9.20*(Y[4]+Y[2])^2)+5297.7924*sin(Y[1]+Y[3])+57584.70*sin(Y[3]))*(-5870*sin(Y[1]+Y[3])-5870*sin(Y[3]))+730134.08*cos(Y[1]+Y[3])*(-5297.7924*sin(Y[1]+Y[3])+5400.40*Y[4]^2*sin(Y[1]))*(142796.8368+10800.80*cos(Y[1]))-540.04*cos(Y[1]+Y[3])*(-5297.7924*sin(Y[1]+Y[3])+5400.40*Y[4]^2*sin(Y[1]))*(-540.04*sin(Y[1]+Y[3])-5870*sin(Y[3]))*(-5870*sin(Y[1]+Y[3])-5870*sin(Y[3]))-7796.8368*(5870*cos(Y[3])+540.04*cos(Y[1]+Y[3]))*(-540.04*sin(Y[1]+Y[3])-5870*sin(Y[3]))*(5870*Y[4]^2*cos(Y[3])+540.04*(Y[4]+Y[2])^2*cos(Y[1]+Y[3])+13263.12+4502790.000*Y[7]+8441411.753*cosh(0.6003043287e-1+0.2001014429e-1*Y[7])*(cos(.43*X-.3001521644)-cos(.43*X+.3001521644)))+10541323.3536*(5870*cos(Y[3])+540.04*cos(Y[1]+Y[3]))*(-587*sin(Y[1])*(9.20*Y[2]^2-9.20*(Y[4]+Y[2])^2)+5297.7924*sin(Y[1]+Y[3])+57584.70*sin(Y[3]))-540.04*(5870*cos(Y[3])+540.04*cos(Y[1]+Y[3]))*sin(Y[1]+Y[3])*(7796.8368+5400.40*cos(Y[1]))*(5870*Y[4]^2*cos(Y[3])+540.04*(Y[4]+Y[2])^2*cos(Y[1]+Y[3])+13263.12+4502790.000*Y[7]+8441411.753*cosh(0.6003043287e-1+0.2001014429e-1*Y[7])*(cos(.43*X-.3001521644)-cos(.43*X+.3001521644)))-291643.2016*(5870*cos(Y[3])+540.04*cos(Y[1]+Y[3]))*sin(Y[1]+Y[3])^2*(-587*sin(Y[1])*(9.20*Y[2]^2-9.20*(Y[4]+Y[2])^2)+5297.7924*sin(Y[1]+Y[3])+57584.70*sin(Y[3]))-1352*(5870*cos(Y[3])+540.04*cos(Y[1]+Y[3]))*(-5297.7924*sin(Y[1]+Y[3])+5400.40*Y[4]^2*sin(Y[1]))*(7796.8368+5400.40*cos(Y[1]))-540.04*(5870*cos(Y[3])+540.04*cos(Y[1]+Y[3]))*(-5297.7924*sin(Y[1]+Y[3])+5400.40*Y[4]^2*sin(Y[1]))*(-540.04*sin(Y[1]+Y[3])-5870*sin(Y[3]))*sin(Y[1]+Y[3])-10541323.3536*(5870*Y[4]^2*sin(Y[3])+540.04*(Y[4]+Y[2])^2*sin(Y[1]+Y[3])+2710.493534*sin(.43*X-0.2001014429e-1*Y[5]))*(142796.8368+10800.80*cos(Y[1]))+7796.8368*(5870*Y[4]^2*sin(Y[3])+540.04*(Y[4]+Y[2])^2*sin(Y[1]+Y[3])+2710.493534*sin(.43*X-0.2001014429e-1*Y[5]))*(-540.04*sin(Y[1]+Y[3])-5870*sin(Y[3]))*(-5870*sin(Y[1]+Y[3])-5870*sin(Y[3]))+1352*(5870*Y[4]^2*sin(Y[3])+540.04*(Y[4]+Y[2])^2*sin(Y[1]+Y[3])+2710.493534*sin(.43*X-0.2001014429e-1*Y[5]))*(7796.8368+5400.40*cos(Y[1]))^2+540.04*(5870*Y[4]^2*sin(Y[3])+540.04*(Y[4]+Y[2])^2*sin(Y[1]+Y[3])+2710.493534*sin(.43*X-0.2001014429e-1*Y[5]))*(7796.8368+5400.40*cos(Y[1]))*(-540.04*sin(Y[1]+Y[3])-5870*sin(Y[3]))*sin(Y[1]+Y[3])+540.04*(5870*Y[4]^2*sin(Y[3])+540.04*(Y[4]+Y[2])^2*sin(Y[1]+Y[3])+2710.493534*sin(.43*X-0.2001014429e-1*Y[5]))*sin(Y[1]+Y[3])*(7796.8368+5400.40*cos(Y[1]))*(-5870*sin(Y[1]+Y[3])-5870*sin(Y[3]))+291643.2016*(5870*Y[4]^2*sin(Y[3])+540.04*(Y[4]+Y[2])^2*sin(Y[1]+Y[3])+2710.493534*sin(.43*X-0.2001014429e-1*Y[5]))*sin(Y[1]+Y[3])^2*(142796.8368+10800.80*cos(Y[1])))/(1460268.16*cos(Y[1]+Y[3])*(7796.8368+5400.40*cos(Y[1]))*(5870*cos(Y[3])+540.04*cos(Y[1]+Y[3]))-394301608.5632*cos(Y[1]+Y[3])^2*(142796.8368+10800.80*cos(Y[1]))+291643.2016*cos(Y[1]+Y[3])^2*(-540.04*sin(Y[1]+Y[3])-5870*sin(Y[3]))*(-5870*sin(Y[1]+Y[3])-5870*sin(Y[3]))+291643.2016*cos(Y[1]+Y[3])*sin(Y[1]+Y[3])*(5870*cos(Y[3])+540.04*cos(Y[1]+Y[3]))*(-5870*sin(Y[1]+Y[3])-5870*sin(Y[3]))-10541323.3536*(5870*cos(Y[3])+540.04*cos(Y[1]+Y[3]))^2+291643.2016*(5870*cos(Y[3])+540.04*cos(Y[1]+Y[3]))*cos(Y[1]+Y[3])*(-540.04*sin(Y[1]+Y[3])-5870*sin(Y[3]))*sin(Y[1]+Y[3])+291643.2016*(5870*cos(Y[3])+540.04*cos(Y[1]+Y[3]))^2*sin(Y[1]+Y[3])^2+2035121836544224.7506+153931588575265.01376*cos(Y[1])-10541323.3536*(-540.04*sin(Y[1]+Y[3])-5870*sin(Y[3]))*(-5870*sin(Y[1]+Y[3])-5870*sin(Y[3]))-1827904*(7796.8368+5400.40*cos(Y[1]))^2-730134.08*(7796.8368+5400.40*cos(Y[1]))*(-540.04*sin(Y[1]+Y[3])-5870*sin(Y[3]))*sin(Y[1]+Y[3])-730134.08*sin(Y[1]+Y[3])*(7796.8368+5400.40*cos(Y[1]))*(-5870*sin(Y[1]+Y[3])-5870*sin(Y[3]))-394301608.5632*sin(Y[1]+Y[3])^2*(142796.8368+10800.80*cos(Y[1]))); YP[8] := -(291643.2016*cos(Y[1]+Y[3])^2*(-587*sin(Y[1])*(9.20*Y[2]^2-9.20*(Y[4]+Y[2])^2)+5297.7924*sin(Y[1]+Y[3])+57584.70*sin(Y[3]))*(-5870*sin(Y[1]+Y[3])-5870*sin(Y[3]))-540.04*cos(Y[1]+Y[3])*(-5297.7924*sin(Y[1]+Y[3])+5400.40*Y[4]^2*sin(Y[1]))*(5870*cos(Y[3])+540.04*cos(Y[1]+Y[3]))*(-5870*sin(Y[1]+Y[3])-5870*sin(Y[3]))+1080.08*cos(Y[1]+Y[3])*(5870*Y[4]^2*cos(Y[3])+540.04*(Y[4]+Y[2])^2*cos(Y[1]+Y[3])+13263.12+4502790.000*Y[7]+8441411.753*cosh(0.6003043287e-1+0.2001014429e-1*Y[7])*(cos(.43*X-.3001521644)-cos(.43*X+.3001521644)))*(7796.8368+5400.40*cos(Y[1]))*(5870*cos(Y[3])+540.04*cos(Y[1]+Y[3]))-291643.2016*cos(Y[1]+Y[3])^2*(5870*Y[4]^2*cos(Y[3])+540.04*(Y[4]+Y[2])^2*cos(Y[1]+Y[3])+13263.12+4502790.000*Y[7]+8441411.753*cosh(0.6003043287e-1+0.2001014429e-1*Y[7])*(cos(.43*X-.3001521644)-cos(.43*X+.3001521644)))*(142796.8368+10800.80*cos(Y[1]))-730134.08*sin(Y[1]+Y[3])*(7796.8368+5400.40*cos(Y[1]))*(-587*sin(Y[1])*(9.20*Y[2]^2-9.20*(Y[4]+Y[2])^2)+5297.7924*sin(Y[1]+Y[3])+57584.70*sin(Y[3]))+730134.08*sin(Y[1]+Y[3])*(-5297.7924*sin(Y[1]+Y[3])+5400.40*Y[4]^2*sin(Y[1]))*(142796.8368+10800.80*cos(Y[1]))-7796.8368*(5870*Y[4]^2*cos(Y[3])+540.04*(Y[4]+Y[2])^2*cos(Y[1]+Y[3])+13263.12+4502790.000*Y[7]+8441411.753*cosh(0.6003043287e-1+0.2001014429e-1*Y[7])*(cos(.43*X-.3001521644)-cos(.43*X+.3001521644)))*(5870*cos(Y[3])+540.04*cos(Y[1]+Y[3]))^2+10541323.3536*(5870*Y[4]^2*cos(Y[3])+540.04*(Y[4]+Y[2])^2*cos(Y[1]+Y[3])+13263.12+4502790.000*Y[7]+8441411.753*cosh(0.6003043287e-1+0.2001014429e-1*Y[7])*(cos(.43*X-.3001521644)-cos(.43*X+.3001521644)))*(142796.8368+10800.80*cos(Y[1]))-1352*(5870*Y[4]^2*cos(Y[3])+540.04*(Y[4]+Y[2])^2*cos(Y[1]+Y[3])+13263.12+4502790.000*Y[7]+8441411.753*cosh(0.6003043287e-1+0.2001014429e-1*Y[7])*(cos(.43*X-.3001521644)-cos(.43*X+.3001521644)))*(7796.8368+5400.40*cos(Y[1]))^2+540.04*(5870*Y[4]^2*sin(Y[3])+540.04*(Y[4]+Y[2])^2*sin(Y[1]+Y[3])+2710.493534*sin(.43*X-0.2001014429e-1*Y[5]))*sin(Y[1]+Y[3])*(7796.8368+5400.40*cos(Y[1]))*(5870*cos(Y[3])+540.04*cos(Y[1]+Y[3]))-291643.2016*(5870*Y[4]^2*sin(Y[3])+540.04*(Y[4]+Y[2])^2*sin(Y[1]+Y[3])+2710.493534*sin(.43*X-0.2001014429e-1*Y[5]))*sin(Y[1]+Y[3])*cos(Y[1]+Y[3])*(142796.8368+10800.80*cos(Y[1]))+291643.2016*(5870*cos(Y[3])+540.04*cos(Y[1]+Y[3]))*cos(Y[1]+Y[3])*(-587*sin(Y[1])*(9.20*Y[2]^2-9.20*(Y[4]+Y[2])^2)+5297.7924*sin(Y[1]+Y[3])+57584.70*sin(Y[3]))*sin(Y[1]+Y[3])-540.04*(5870*cos(Y[3])+540.04*cos(Y[1]+Y[3]))^2*(-5297.7924*sin(Y[1]+Y[3])+5400.40*Y[4]^2*sin(Y[1]))*sin(Y[1]+Y[3])-10541323.3536*(-587*sin(Y[1])*(9.20*Y[2]^2-9.20*(Y[4]+Y[2])^2)+5297.7924*sin(Y[1]+Y[3])+57584.70*sin(Y[3]))*(-5870*sin(Y[1]+Y[3])-5870*sin(Y[3]))+1352*(-5297.7924*sin(Y[1]+Y[3])+5400.40*Y[4]^2*sin(Y[1]))*(7796.8368+5400.40*cos(Y[1]))*(-5870*sin(Y[1]+Y[3])-5870*sin(Y[3]))+7796.8368*(5870*Y[4]^2*sin(Y[3])+540.04*(Y[4]+Y[2])^2*sin(Y[1]+Y[3])+2710.493534*sin(.43*X-0.2001014429e-1*Y[5]))*(5870*cos(Y[3])+540.04*cos(Y[1]+Y[3]))*(-5870*sin(Y[1]+Y[3])-5870*sin(Y[3]))-540.04*(5870*Y[4]^2*sin(Y[3])+540.04*(Y[4]+Y[2])^2*sin(Y[1]+Y[3])+2710.493534*sin(.43*X-0.2001014429e-1*Y[5]))*cos(Y[1]+Y[3])*(7796.8368+5400.40*cos(Y[1]))*(-5870*sin(Y[1]+Y[3])-5870*sin(Y[3])))/(1460268.16*cos(Y[1]+Y[3])*(7796.8368+5400.40*cos(Y[1]))*(5870*cos(Y[3])+540.04*cos(Y[1]+Y[3]))-394301608.5632*cos(Y[1]+Y[3])^2*(142796.8368+10800.80*cos(Y[1]))+291643.2016*cos(Y[1]+Y[3])^2*(-540.04*sin(Y[1]+Y[3])-5870*sin(Y[3]))*(-5870*sin(Y[1]+Y[3])-5870*sin(Y[3]))+291643.2016*cos(Y[1]+Y[3])*sin(Y[1]+Y[3])*(5870*cos(Y[3])+540.04*cos(Y[1]+Y[3]))*(-5870*sin(Y[1]+Y[3])-5870*sin(Y[3]))-10541323.3536*(5870*cos(Y[3])+540.04*cos(Y[1]+Y[3]))^2+291643.2016*(5870*cos(Y[3])+540.04*cos(Y[1]+Y[3]))*cos(Y[1]+Y[3])*(-540.04*sin(Y[1]+Y[3])-5870*sin(Y[3]))*sin(Y[1]+Y[3])+291643.2016*(5870*cos(Y[3])+540.04*cos(Y[1]+Y[3]))^2*sin(Y[1]+Y[3])^2+2035121836544224.7506+153931588575265.01376*cos(Y[1])-10541323.3536*(-540.04*sin(Y[1]+Y[3])-5870*sin(Y[3]))*(-5870*sin(Y[1]+Y[3])-5870*sin(Y[3]))-1827904*(7796.8368+5400.40*cos(Y[1]))^2-730134.08*(7796.8368+5400.40*cos(Y[1]))*(-540.04*sin(Y[1]+Y[3])-5870*sin(Y[3]))*sin(Y[1]+Y[3])-730134.08*sin(Y[1]+Y[3])*(7796.8368+5400.40*cos(Y[1]))*(-5870*sin(Y[1]+Y[3])-5870*sin(Y[3]))-394301608.5632*sin(Y[1]+Y[3])^2*(142796.8368+10800.80*cos(Y[1]))); YP[1] := Y[2]; YP[3] := Y[4]; YP[5] := Y[6]; YP[7] := Y[8]; 0 end proc, -1, 0, 0, 0, 0, 0, 0]), ( 11 ) = (Array(1..6, 0..8, {(1, 1) = .0, (1, 2) = .0, (1, 3) = .0, (1, 4) = .0, (1, 5) = .0, (1, 6) = .0, (1, 7) = .0, (1, 8) = .0, (2, 0) = .0, (2, 1) = .0, (2, 2) = .0, (2, 3) = .0, (2, 4) = .0, (2, 5) = .0, (2, 6) = .0, (2, 7) = .0, (2, 8) = .0, (3, 0) = .0, (3, 1) = .0, (3, 2) = .0, (3, 3) = .0, (3, 4) = .0, (3, 5) = .0, (3, 6) = .0, (3, 7) = .0, (3, 8) = .0, (4, 0) = .0, (4, 1) = .0, (4, 2) = .0, (4, 3) = .0, (4, 4) = .0, (4, 5) = .0, (4, 6) = .0, (4, 7) = .0, (4, 8) = .0, (5, 0) = .0, (5, 1) = .0, (5, 2) = .0, (5, 3) = .0, (5, 4) = .0, (5, 5) = .0, (5, 6) = .0, (5, 7) = .0, (5, 8) = .0, (6, 0) = .0, (6, 1) = .0, (6, 2) = .0, (6, 3) = .0, (6, 4) = .0, (6, 5) = .0, (6, 6) = .0, (6, 7) = .0, (6, 8) = .0}, datatype = float[8], order = C_order)), ( 8 ) = ([Array(1..8, {(1) = .0, (2) = .0, (3) = .0, (4) = .0, (5) = .0, (6) = .0, (7) = .0, (8) = .0}, datatype = float[8], order = C_order), Array(1..8, {(1) = .0, (2) = .0, (3) = .0, (4) = .0, (5) = .0, (6) = .0, (7) = .0, (8) = .0}, datatype = float[8], order = C_order), Array(1..8, {(1) = .0, (2) = .0, (3) = .0, (4) = -.0, (5) = .0, (6) = .0, (7) = .0, (8) = -9.809999999999999}, datatype = float[8], order = C_order)]), ( 9 ) = ([Array(1..8, {(1) = .1, (2) = .1, (3) = .1, (4) = .1, (5) = .1, (6) = .1, (7) = .1, (8) = .1}, datatype = float[8], order = C_order), Array(1..8, {(1) = .0, (2) = .0, (3) = .0, (4) = .0, (5) = .0, (6) = .0, (7) = .0, (8) = .0}, datatype = float[8], order = C_order), Array(1..8, {(1) = .0, (2) = .0, (3) = .0, (4) = .0, (5) = .0, (6) = .0, (7) = .0, (8) = .0}, datatype = float[8], order = C_order), Array(1..8, {(1) = .0, (2) = .0, (3) = .0, (4) = .0, (5) = .0, (6) = .0, (7) = .0, (8) = .0}, datatype = float[8], order = C_order), Array(1..8, {(1) = .0, (2) = .0, (3) = .0, (4) = .0, (5) = .0, (6) = .0, (7) = .0, (8) = .0}, datatype = float[8], order = C_order), Array(1..8, 1..8, {(1, 1) = .0, (1, 2) = .0, (1, 3) = .0, (1, 4) = .0, (1, 5) = .0, (1, 6) = .0, (1, 7) = .0, (1, 8) = .0, (2, 1) = .0, (2, 2) = .0, (2, 3) = .0, (2, 4) = .0, (2, 5) = .0, (2, 6) = .0, (2, 7) = .0, (2, 8) = .0, (3, 1) = .0, (3, 2) = .0, (3, 3) = .0, (3, 4) = .0, (3, 5) = .0, (3, 6) = .0, (3, 7) = .0, (3, 8) = .0, (4, 1) = .0, (4, 2) = .0, (4, 3) = .0, (4, 4) = .0, (4, 5) = .0, (4, 6) = .0, (4, 7) = .0, (4, 8) = .0, (5, 1) = .0, (5, 2) = .0, (5, 3) = .0, (5, 4) = .0, (5, 5) = .0, (5, 6) = .0, (5, 7) = .0, (5, 8) = .0, (6, 1) = .0, (6, 2) = .0, (6, 3) = .0, (6, 4) = .0, (6, 5) = .0, (6, 6) = .0, (6, 7) = .0, (6, 8) = .0, (7, 1) = .0, (7, 2) = .0, (7, 3) = .0, (7, 4) = .0, (7, 5) = .0, (7, 6) = .0, (7, 7) = .0, (7, 8) = .0, (8, 1) = .0, (8, 2) = .0, (8, 3) = .0, (8, 4) = .0, (8, 5) = .0, (8, 6) = .0, (8, 7) = .0, (8, 8) = .0}, datatype = float[8], order = C_order), Array(1..8, 1..8, {(1, 1) = .0, (1, 2) = .0, (1, 3) = .0, (1, 4) = .0, (1, 5) = .0, (1, 6) = .0, (1, 7) = .0, (1, 8) = .0, (2, 1) = .0, (2, 2) = .0, (2, 3) = .0, (2, 4) = .0, (2, 5) = .0, (2, 6) = .0, (2, 7) = .0, (2, 8) = .0, (3, 1) = .0, (3, 2) = .0, (3, 3) = .0, (3, 4) = .0, (3, 5) = .0, (3, 6) = .0, (3, 7) = .0, (3, 8) = .0, (4, 1) = .0, (4, 2) = .0, (4, 3) = .0, (4, 4) = .0, (4, 5) = .0, (4, 6) = .0, (4, 7) = .0, (4, 8) = .0, (5, 1) = .0, (5, 2) = .0, (5, 3) = .0, (5, 4) = .0, (5, 5) = .0, (5, 6) = .0, (5, 7) = .0, (5, 8) = .0, (6, 1) = .0, (6, 2) = .0, (6, 3) = .0, (6, 4) = .0, (6, 5) = .0, (6, 6) = .0, (6, 7) = .0, (6, 8) = .0, (7, 1) = .0, (7, 2) = .0, (7, 3) = .0, (7, 4) = .0, (7, 5) = .0, (7, 6) = .0, (7, 7) = .0, (7, 8) = .0, (8, 1) = .0, (8, 2) = .0, (8, 3) = .0, (8, 4) = .0, (8, 5) = .0, (8, 6) = .0, (8, 7) = .0, (8, 8) = .0}, datatype = float[8], order = C_order), Array(1..8, 1..6, {(1, 1) = .0, (1, 2) = .0, (1, 3) = .0, (1, 4) = .0, (1, 5) = .0, (1, 6) = .0, (2, 1) = .0, (2, 2) = .0, (2, 3) = .0, (2, 4) = .0, (2, 5) = .0, (2, 6) = .0, (3, 1) = .0, (3, 2) = .0, (3, 3) = .0, (3, 4) = .0, (3, 5) = .0, (3, 6) = .0, (4, 1) = .0, (4, 2) = .0, (4, 3) = .0, (4, 4) = .0, (4, 5) = .0, (4, 6) = .0, (5, 1) = .0, (5, 2) = .0, (5, 3) = .0, (5, 4) = .0, (5, 5) = .0, (5, 6) = .0, (6, 1) = .0, (6, 2) = .0, (6, 3) = .0, (6, 4) = .0, (6, 5) = .0, (6, 6) = .0, (7, 1) = .0, (7, 2) = .0, (7, 3) = .0, (7, 4) = .0, (7, 5) = .0, (7, 6) = .0, (8, 1) = .0, (8, 2) = .0, (8, 3) = .0, (8, 4) = .0, (8, 5) = .0, (8, 6) = .0}, datatype = float[8], order = C_order), Array(1..8, {(1) = 0, (2) = 0, (3) = 0, (4) = 0, (5) = 0, (6) = 0, (7) = 0, (8) = 0}, datatype = integer[4]), Array(1..8, {(1) = .0, (2) = .0, (3) = .0, (4) = .0, (5) = .0, (6) = .0, (7) = .0, (8) = .0}, datatype = float[8], order = C_order), Array(1..8, {(1) = .0, (2) = .0, (3) = .0, (4) = .0, (5) = .0, (6) = .0, (7) = .0, (8) = .0}, datatype = float[8], order = C_order), Array(1..8, {(1) = .0, (2) = .0, (3) = .0, (4) = .0, (5) = .0, (6) = .0, (7) = .0, (8) = .0}, datatype = float[8], order = C_order), Array(1..8, {(1) = .0, (2) = .0, (3) = .0, (4) = .0, (5) = .0, (6) = .0, (7) = .0, (8) = .0}, datatype = float[8], order = C_order)]), ( 15 ) = ("rkf45"), ( 14 ) = ([0, 0]), ( 13 ) = (), ( 12 ) = (), ( 20 ) = ([]), ( 16 ) = ([0, 0, 0, []]), ( 17 ) = ([proc (N, X, Y, YP) option `[Y[1] = alpha(t), Y[2] = diff(alpha(t),t), Y[3] = theta(t), Y[4] = diff(theta(t),t), Y[5] = x(t), Y[6] = diff(x(t),t), Y[7] = z(t), Y[8] = diff(z(t),t)]`; YP[2] := (540.04*(5870*cos(Y[3])+540.04*cos(Y[1]+Y[3]))*cos(Y[1]+Y[3])*(-540.04*sin(Y[1]+Y[3])-5870*sin(Y[3]))*(5870*Y[4]^2*cos(Y[3])+540.04*(Y[4]+Y[2])^2*cos(Y[1]+Y[3])+13263.12+4502790.000*Y[7]+8441411.753*cosh(0.6003043287e-1+0.2001014429e-1*Y[7])*(cos(.43*X-.3001521644)-cos(.43*X+.3001521644)))-730134.08*(5870*cos(Y[3])+540.04*cos(Y[1]+Y[3]))*cos(Y[1]+Y[3])*(-587*sin(Y[1])*(9.20*Y[2]^2-9.20*(Y[4]+Y[2])^2)+5297.7924*sin(Y[1]+Y[3])+57584.70*sin(Y[3]))+540.04*(5870*cos(Y[3])+540.04*cos(Y[1]+Y[3]))^2*sin(Y[1]+Y[3])*(5870*Y[4]^2*cos(Y[3])+540.04*(Y[4]+Y[2])^2*cos(Y[1]+Y[3])+13263.12+4502790.000*Y[7]+8441411.753*cosh(0.6003043287e-1+0.2001014429e-1*Y[7])*(cos(.43*X-.3001521644)-cos(.43*X+.3001521644)))+1352*(5870*cos(Y[3])+540.04*cos(Y[1]+Y[3]))^2*(-5297.7924*sin(Y[1]+Y[3])+5400.40*Y[4]^2*sin(Y[1]))-1352*(7796.8368+5400.40*cos(Y[1]))*(-540.04*sin(Y[1]+Y[3])-5870*sin(Y[3]))*(5870*Y[4]^2*cos(Y[3])+540.04*(Y[4]+Y[2])^2*cos(Y[1]+Y[3])+13263.12+4502790.000*Y[7]+8441411.753*cosh(0.6003043287e-1+0.2001014429e-1*Y[7])*(cos(.43*X-.3001521644)-cos(.43*X+.3001521644)))+1827904*(7796.8368+5400.40*cos(Y[1]))*(-587*sin(Y[1])*(9.20*Y[2]^2-9.20*(Y[4]+Y[2])^2)+5297.7924*sin(Y[1]+Y[3])+57584.70*sin(Y[3]))-730134.08*sin(Y[1]+Y[3])*(142796.8368+10800.80*cos(Y[1]))*(5870*Y[4]^2*cos(Y[3])+540.04*(Y[4]+Y[2])^2*cos(Y[1]+Y[3])+13263.12+4502790.000*Y[7]+8441411.753*cosh(0.6003043287e-1+0.2001014429e-1*Y[7])*(cos(.43*X-.3001521644)-cos(.43*X+.3001521644)))+730134.08*sin(Y[1]+Y[3])*(-587*sin(Y[1])*(9.20*Y[2]^2-9.20*(Y[4]+Y[2])^2)+5297.7924*sin(Y[1]+Y[3])+57584.70*sin(Y[3]))*(-5870*sin(Y[1]+Y[3])-5870*sin(Y[3]))-1827904*(-5297.7924*sin(Y[1]+Y[3])+5400.40*Y[4]^2*sin(Y[1]))*(142796.8368+10800.80*cos(Y[1]))+1352*(-5297.7924*sin(Y[1]+Y[3])+5400.40*Y[4]^2*sin(Y[1]))*(-540.04*sin(Y[1]+Y[3])-5870*sin(Y[3]))*(-5870*sin(Y[1]+Y[3])-5870*sin(Y[3]))-1352*(5870*Y[4]^2*sin(Y[3])+540.04*(Y[4]+Y[2])^2*sin(Y[1]+Y[3])+2710.493534*sin(.43*X-0.2001014429e-1*Y[5]))*(7796.8368+5400.40*cos(Y[1]))*(5870*cos(Y[3])+540.04*cos(Y[1]+Y[3]))+730134.08*(5870*Y[4]^2*sin(Y[3])+540.04*(Y[4]+Y[2])^2*sin(Y[1]+Y[3])+2710.493534*sin(.43*X-0.2001014429e-1*Y[5]))*cos(Y[1]+Y[3])*(142796.8368+10800.80*cos(Y[1]))-540.04*(5870*Y[4]^2*sin(Y[3])+540.04*(Y[4]+Y[2])^2*sin(Y[1]+Y[3])+2710.493534*sin(.43*X-0.2001014429e-1*Y[5]))*cos(Y[1]+Y[3])*(-540.04*sin(Y[1]+Y[3])-5870*sin(Y[3]))*(-5870*sin(Y[1]+Y[3])-5870*sin(Y[3]))-540.04*(5870*Y[4]^2*sin(Y[3])+540.04*(Y[4]+Y[2])^2*sin(Y[1]+Y[3])+2710.493534*sin(.43*X-0.2001014429e-1*Y[5]))*sin(Y[1]+Y[3])*(5870*cos(Y[3])+540.04*cos(Y[1]+Y[3]))*(-5870*sin(Y[1]+Y[3])-5870*sin(Y[3])))/(1460268.16*cos(Y[1]+Y[3])*(7796.8368+5400.40*cos(Y[1]))*(5870*cos(Y[3])+540.04*cos(Y[1]+Y[3]))-394301608.5632*cos(Y[1]+Y[3])^2*(142796.8368+10800.80*cos(Y[1]))+291643.2016*cos(Y[1]+Y[3])^2*(-540.04*sin(Y[1]+Y[3])-5870*sin(Y[3]))*(-5870*sin(Y[1]+Y[3])-5870*sin(Y[3]))+291643.2016*cos(Y[1]+Y[3])*sin(Y[1]+Y[3])*(5870*cos(Y[3])+540.04*cos(Y[1]+Y[3]))*(-5870*sin(Y[1]+Y[3])-5870*sin(Y[3]))-10541323.3536*(5870*cos(Y[3])+540.04*cos(Y[1]+Y[3]))^2+291643.2016*(5870*cos(Y[3])+540.04*cos(Y[1]+Y[3]))*cos(Y[1]+Y[3])*(-540.04*sin(Y[1]+Y[3])-5870*sin(Y[3]))*sin(Y[1]+Y[3])+291643.2016*(5870*cos(Y[3])+540.04*cos(Y[1]+Y[3]))^2*sin(Y[1]+Y[3])^2+2035121836544224.7506+153931588575265.01376*cos(Y[1])-10541323.3536*(-540.04*sin(Y[1]+Y[3])-5870*sin(Y[3]))*(-5870*sin(Y[1]+Y[3])-5870*sin(Y[3]))-1827904*(7796.8368+5400.40*cos(Y[1]))^2-730134.08*(7796.8368+5400.40*cos(Y[1]))*(-540.04*sin(Y[1]+Y[3])-5870*sin(Y[3]))*sin(Y[1]+Y[3])-730134.08*sin(Y[1]+Y[3])*(7796.8368+5400.40*cos(Y[1]))*(-5870*sin(Y[1]+Y[3])-5870*sin(Y[3]))-394301608.5632*sin(Y[1]+Y[3])^2*(142796.8368+10800.80*cos(Y[1]))); YP[4] := -(291643.2016*cos(Y[1]+Y[3])^2*(-540.04*sin(Y[1]+Y[3])-5870*sin(Y[3]))*(5870*Y[4]^2*cos(Y[3])+540.04*(Y[4]+Y[2])^2*cos(Y[1]+Y[3])+13263.12+4502790.000*Y[7]+8441411.753*cosh(0.6003043287e-1+0.2001014429e-1*Y[7])*(cos(.43*X-.3001521644)-cos(.43*X+.3001521644)))-394301608.5632*cos(Y[1]+Y[3])^2*(-587*sin(Y[1])*(9.20*Y[2]^2-9.20*(Y[4]+Y[2])^2)+5297.7924*sin(Y[1]+Y[3])+57584.70*sin(Y[3]))+291643.2016*cos(Y[1]+Y[3])*sin(Y[1]+Y[3])*(5870*cos(Y[3])+540.04*cos(Y[1]+Y[3]))*(5870*Y[4]^2*cos(Y[3])+540.04*(Y[4]+Y[2])^2*cos(Y[1]+Y[3])+13263.12+4502790.000*Y[7]+8441411.753*cosh(0.6003043287e-1+0.2001014429e-1*Y[7])*(cos(.43*X-.3001521644)-cos(.43*X+.3001521644)))+730134.08*cos(Y[1]+Y[3])*(-5297.7924*sin(Y[1]+Y[3])+5400.40*Y[4]^2*sin(Y[1]))*(5870*cos(Y[3])+540.04*cos(Y[1]+Y[3]))-10541323.3536*(-540.04*sin(Y[1]+Y[3])-5870*sin(Y[3]))*(5870*Y[4]^2*cos(Y[3])+540.04*(Y[4]+Y[2])^2*cos(Y[1]+Y[3])+13263.12+4502790.000*Y[7]+8441411.753*cosh(0.6003043287e-1+0.2001014429e-1*Y[7])*(cos(.43*X-.3001521644)-cos(.43*X+.3001521644)))-8365847205177.4464*sin(Y[1])*(9.20*Y[2]^2-9.20*(Y[4]+Y[2])^2)+75503444196167.489249*sin(Y[1]+Y[3])+820689610827907.49184*sin(Y[3])-730134.08*sin(Y[1]+Y[3])*(7796.8368+5400.40*cos(Y[1]))*(5870*Y[4]^2*cos(Y[3])+540.04*(Y[4]+Y[2])^2*cos(Y[1]+Y[3])+13263.12+4502790.000*Y[7]+8441411.753*cosh(0.6003043287e-1+0.2001014429e-1*Y[7])*(cos(.43*X-.3001521644)-cos(.43*X+.3001521644)))-394301608.5632*sin(Y[1]+Y[3])^2*(-587*sin(Y[1])*(9.20*Y[2]^2-9.20*(Y[4]+Y[2])^2)+5297.7924*sin(Y[1]+Y[3])+57584.70*sin(Y[3]))-1827904*(-5297.7924*sin(Y[1]+Y[3])+5400.40*Y[4]^2*sin(Y[1]))*(7796.8368+5400.40*cos(Y[1]))-730134.08*(-5297.7924*sin(Y[1]+Y[3])+5400.40*Y[4]^2*sin(Y[1]))*(-540.04*sin(Y[1]+Y[3])-5870*sin(Y[3]))*sin(Y[1]+Y[3])-10541323.3536*(5870*Y[4]^2*sin(Y[3])+540.04*(Y[4]+Y[2])^2*sin(Y[1]+Y[3])+2710.493534*sin(.43*X-0.2001014429e-1*Y[5]))*(5870*cos(Y[3])+540.04*cos(Y[1]+Y[3]))+730134.08*(5870*Y[4]^2*sin(Y[3])+540.04*(Y[4]+Y[2])^2*sin(Y[1]+Y[3])+2710.493534*sin(.43*X-0.2001014429e-1*Y[5]))*cos(Y[1]+Y[3])*(7796.8368+5400.40*cos(Y[1]))+291643.2016*(5870*Y[4]^2*sin(Y[3])+540.04*(Y[4]+Y[2])^2*sin(Y[1]+Y[3])+2710.493534*sin(.43*X-0.2001014429e-1*Y[5]))*cos(Y[1]+Y[3])*(-540.04*sin(Y[1]+Y[3])-5870*sin(Y[3]))*sin(Y[1]+Y[3])+291643.2016*(5870*Y[4]^2*sin(Y[3])+540.04*(Y[4]+Y[2])^2*sin(Y[1]+Y[3])+2710.493534*sin(.43*X-0.2001014429e-1*Y[5]))*sin(Y[1]+Y[3])^2*(5870*cos(Y[3])+540.04*cos(Y[1]+Y[3])))/(1460268.16*cos(Y[1]+Y[3])*(7796.8368+5400.40*cos(Y[1]))*(5870*cos(Y[3])+540.04*cos(Y[1]+Y[3]))-394301608.5632*cos(Y[1]+Y[3])^2*(142796.8368+10800.80*cos(Y[1]))+291643.2016*cos(Y[1]+Y[3])^2*(-540.04*sin(Y[1]+Y[3])-5870*sin(Y[3]))*(-5870*sin(Y[1]+Y[3])-5870*sin(Y[3]))+291643.2016*cos(Y[1]+Y[3])*sin(Y[1]+Y[3])*(5870*cos(Y[3])+540.04*cos(Y[1]+Y[3]))*(-5870*sin(Y[1]+Y[3])-5870*sin(Y[3]))-10541323.3536*(5870*cos(Y[3])+540.04*cos(Y[1]+Y[3]))^2+291643.2016*(5870*cos(Y[3])+540.04*cos(Y[1]+Y[3]))*cos(Y[1]+Y[3])*(-540.04*sin(Y[1]+Y[3])-5870*sin(Y[3]))*sin(Y[1]+Y[3])+291643.2016*(5870*cos(Y[3])+540.04*cos(Y[1]+Y[3]))^2*sin(Y[1]+Y[3])^2+2035121836544224.7506+153931588575265.01376*cos(Y[1])-10541323.3536*(-540.04*sin(Y[1]+Y[3])-5870*sin(Y[3]))*(-5870*sin(Y[1]+Y[3])-5870*sin(Y[3]))-1827904*(7796.8368+5400.40*cos(Y[1]))^2-730134.08*(7796.8368+5400.40*cos(Y[1]))*(-540.04*sin(Y[1]+Y[3])-5870*sin(Y[3]))*sin(Y[1]+Y[3])-730134.08*sin(Y[1]+Y[3])*(7796.8368+5400.40*cos(Y[1]))*(-5870*sin(Y[1]+Y[3])-5870*sin(Y[3]))-394301608.5632*sin(Y[1]+Y[3])^2*(142796.8368+10800.80*cos(Y[1]))); YP[6] := (540.04*cos(Y[1]+Y[3])*(7796.8368+5400.40*cos(Y[1]))*(-540.04*sin(Y[1]+Y[3])-5870*sin(Y[3]))*(5870*Y[4]^2*cos(Y[3])+540.04*(Y[4]+Y[2])^2*cos(Y[1]+Y[3])+13263.12+4502790.000*Y[7]+8441411.753*cosh(0.6003043287e-1+0.2001014429e-1*Y[7])*(cos(.43*X-.3001521644)-cos(.43*X+.3001521644)))-730134.08*cos(Y[1]+Y[3])*(7796.8368+5400.40*cos(Y[1]))*(-587*sin(Y[1])*(9.20*Y[2]^2-9.20*(Y[4]+Y[2])^2)+5297.7924*sin(Y[1]+Y[3])+57584.70*sin(Y[3]))+291643.2016*cos(Y[1]+Y[3])*sin(Y[1]+Y[3])*(142796.8368+10800.80*cos(Y[1]))*(5870*Y[4]^2*cos(Y[3])+540.04*(Y[4]+Y[2])^2*cos(Y[1]+Y[3])+13263.12+4502790.000*Y[7]+8441411.753*cosh(0.6003043287e-1+0.2001014429e-1*Y[7])*(cos(.43*X-.3001521644)-cos(.43*X+.3001521644)))-291643.2016*cos(Y[1]+Y[3])*sin(Y[1]+Y[3])*(-587*sin(Y[1])*(9.20*Y[2]^2-9.20*(Y[4]+Y[2])^2)+5297.7924*sin(Y[1]+Y[3])+57584.70*sin(Y[3]))*(-5870*sin(Y[1]+Y[3])-5870*sin(Y[3]))+730134.08*cos(Y[1]+Y[3])*(-5297.7924*sin(Y[1]+Y[3])+5400.40*Y[4]^2*sin(Y[1]))*(142796.8368+10800.80*cos(Y[1]))-540.04*cos(Y[1]+Y[3])*(-5297.7924*sin(Y[1]+Y[3])+5400.40*Y[4]^2*sin(Y[1]))*(-540.04*sin(Y[1]+Y[3])-5870*sin(Y[3]))*(-5870*sin(Y[1]+Y[3])-5870*sin(Y[3]))-7796.8368*(5870*cos(Y[3])+540.04*cos(Y[1]+Y[3]))*(-540.04*sin(Y[1]+Y[3])-5870*sin(Y[3]))*(5870*Y[4]^2*cos(Y[3])+540.04*(Y[4]+Y[2])^2*cos(Y[1]+Y[3])+13263.12+4502790.000*Y[7]+8441411.753*cosh(0.6003043287e-1+0.2001014429e-1*Y[7])*(cos(.43*X-.3001521644)-cos(.43*X+.3001521644)))+10541323.3536*(5870*cos(Y[3])+540.04*cos(Y[1]+Y[3]))*(-587*sin(Y[1])*(9.20*Y[2]^2-9.20*(Y[4]+Y[2])^2)+5297.7924*sin(Y[1]+Y[3])+57584.70*sin(Y[3]))-540.04*(5870*cos(Y[3])+540.04*cos(Y[1]+Y[3]))*sin(Y[1]+Y[3])*(7796.8368+5400.40*cos(Y[1]))*(5870*Y[4]^2*cos(Y[3])+540.04*(Y[4]+Y[2])^2*cos(Y[1]+Y[3])+13263.12+4502790.000*Y[7]+8441411.753*cosh(0.6003043287e-1+0.2001014429e-1*Y[7])*(cos(.43*X-.3001521644)-cos(.43*X+.3001521644)))-291643.2016*(5870*cos(Y[3])+540.04*cos(Y[1]+Y[3]))*sin(Y[1]+Y[3])^2*(-587*sin(Y[1])*(9.20*Y[2]^2-9.20*(Y[4]+Y[2])^2)+5297.7924*sin(Y[1]+Y[3])+57584.70*sin(Y[3]))-1352*(5870*cos(Y[3])+540.04*cos(Y[1]+Y[3]))*(-5297.7924*sin(Y[1]+Y[3])+5400.40*Y[4]^2*sin(Y[1]))*(7796.8368+5400.40*cos(Y[1]))-540.04*(5870*cos(Y[3])+540.04*cos(Y[1]+Y[3]))*(-5297.7924*sin(Y[1]+Y[3])+5400.40*Y[4]^2*sin(Y[1]))*(-540.04*sin(Y[1]+Y[3])-5870*sin(Y[3]))*sin(Y[1]+Y[3])-10541323.3536*(5870*Y[4]^2*sin(Y[3])+540.04*(Y[4]+Y[2])^2*sin(Y[1]+Y[3])+2710.493534*sin(.43*X-0.2001014429e-1*Y[5]))*(142796.8368+10800.80*cos(Y[1]))+7796.8368*(5870*Y[4]^2*sin(Y[3])+540.04*(Y[4]+Y[2])^2*sin(Y[1]+Y[3])+2710.493534*sin(.43*X-0.2001014429e-1*Y[5]))*(-540.04*sin(Y[1]+Y[3])-5870*sin(Y[3]))*(-5870*sin(Y[1]+Y[3])-5870*sin(Y[3]))+1352*(5870*Y[4]^2*sin(Y[3])+540.04*(Y[4]+Y[2])^2*sin(Y[1]+Y[3])+2710.493534*sin(.43*X-0.2001014429e-1*Y[5]))*(7796.8368+5400.40*cos(Y[1]))^2+540.04*(5870*Y[4]^2*sin(Y[3])+540.04*(Y[4]+Y[2])^2*sin(Y[1]+Y[3])+2710.493534*sin(.43*X-0.2001014429e-1*Y[5]))*(7796.8368+5400.40*cos(Y[1]))*(-540.04*sin(Y[1]+Y[3])-5870*sin(Y[3]))*sin(Y[1]+Y[3])+540.04*(5870*Y[4]^2*sin(Y[3])+540.04*(Y[4]+Y[2])^2*sin(Y[1]+Y[3])+2710.493534*sin(.43*X-0.2001014429e-1*Y[5]))*sin(Y[1]+Y[3])*(7796.8368+5400.40*cos(Y[1]))*(-5870*sin(Y[1]+Y[3])-5870*sin(Y[3]))+291643.2016*(5870*Y[4]^2*sin(Y[3])+540.04*(Y[4]+Y[2])^2*sin(Y[1]+Y[3])+2710.493534*sin(.43*X-0.2001014429e-1*Y[5]))*sin(Y[1]+Y[3])^2*(142796.8368+10800.80*cos(Y[1])))/(1460268.16*cos(Y[1]+Y[3])*(7796.8368+5400.40*cos(Y[1]))*(5870*cos(Y[3])+540.04*cos(Y[1]+Y[3]))-394301608.5632*cos(Y[1]+Y[3])^2*(142796.8368+10800.80*cos(Y[1]))+291643.2016*cos(Y[1]+Y[3])^2*(-540.04*sin(Y[1]+Y[3])-5870*sin(Y[3]))*(-5870*sin(Y[1]+Y[3])-5870*sin(Y[3]))+291643.2016*cos(Y[1]+Y[3])*sin(Y[1]+Y[3])*(5870*cos(Y[3])+540.04*cos(Y[1]+Y[3]))*(-5870*sin(Y[1]+Y[3])-5870*sin(Y[3]))-10541323.3536*(5870*cos(Y[3])+540.04*cos(Y[1]+Y[3]))^2+291643.2016*(5870*cos(Y[3])+540.04*cos(Y[1]+Y[3]))*cos(Y[1]+Y[3])*(-540.04*sin(Y[1]+Y[3])-5870*sin(Y[3]))*sin(Y[1]+Y[3])+291643.2016*(5870*cos(Y[3])+540.04*cos(Y[1]+Y[3]))^2*sin(Y[1]+Y[3])^2+2035121836544224.7506+153931588575265.01376*cos(Y[1])-10541323.3536*(-540.04*sin(Y[1]+Y[3])-5870*sin(Y[3]))*(-5870*sin(Y[1]+Y[3])-5870*sin(Y[3]))-1827904*(7796.8368+5400.40*cos(Y[1]))^2-730134.08*(7796.8368+5400.40*cos(Y[1]))*(-540.04*sin(Y[1]+Y[3])-5870*sin(Y[3]))*sin(Y[1]+Y[3])-730134.08*sin(Y[1]+Y[3])*(7796.8368+5400.40*cos(Y[1]))*(-5870*sin(Y[1]+Y[3])-5870*sin(Y[3]))-394301608.5632*sin(Y[1]+Y[3])^2*(142796.8368+10800.80*cos(Y[1]))); YP[8] := -(291643.2016*cos(Y[1]+Y[3])^2*(-587*sin(Y[1])*(9.20*Y[2]^2-9.20*(Y[4]+Y[2])^2)+5297.7924*sin(Y[1]+Y[3])+57584.70*sin(Y[3]))*(-5870*sin(Y[1]+Y[3])-5870*sin(Y[3]))-540.04*cos(Y[1]+Y[3])*(-5297.7924*sin(Y[1]+Y[3])+5400.40*Y[4]^2*sin(Y[1]))*(5870*cos(Y[3])+540.04*cos(Y[1]+Y[3]))*(-5870*sin(Y[1]+Y[3])-5870*sin(Y[3]))+1080.08*cos(Y[1]+Y[3])*(5870*Y[4]^2*cos(Y[3])+540.04*(Y[4]+Y[2])^2*cos(Y[1]+Y[3])+13263.12+4502790.000*Y[7]+8441411.753*cosh(0.6003043287e-1+0.2001014429e-1*Y[7])*(cos(.43*X-.3001521644)-cos(.43*X+.3001521644)))*(7796.8368+5400.40*cos(Y[1]))*(5870*cos(Y[3])+540.04*cos(Y[1]+Y[3]))-291643.2016*cos(Y[1]+Y[3])^2*(5870*Y[4]^2*cos(Y[3])+540.04*(Y[4]+Y[2])^2*cos(Y[1]+Y[3])+13263.12+4502790.000*Y[7]+8441411.753*cosh(0.6003043287e-1+0.2001014429e-1*Y[7])*(cos(.43*X-.3001521644)-cos(.43*X+.3001521644)))*(142796.8368+10800.80*cos(Y[1]))-730134.08*sin(Y[1]+Y[3])*(7796.8368+5400.40*cos(Y[1]))*(-587*sin(Y[1])*(9.20*Y[2]^2-9.20*(Y[4]+Y[2])^2)+5297.7924*sin(Y[1]+Y[3])+57584.70*sin(Y[3]))+730134.08*sin(Y[1]+Y[3])*(-5297.7924*sin(Y[1]+Y[3])+5400.40*Y[4]^2*sin(Y[1]))*(142796.8368+10800.80*cos(Y[1]))-7796.8368*(5870*Y[4]^2*cos(Y[3])+540.04*(Y[4]+Y[2])^2*cos(Y[1]+Y[3])+13263.12+4502790.000*Y[7]+8441411.753*cosh(0.6003043287e-1+0.2001014429e-1*Y[7])*(cos(.43*X-.3001521644)-cos(.43*X+.3001521644)))*(5870*cos(Y[3])+540.04*cos(Y[1]+Y[3]))^2+10541323.3536*(5870*Y[4]^2*cos(Y[3])+540.04*(Y[4]+Y[2])^2*cos(Y[1]+Y[3])+13263.12+4502790.000*Y[7]+8441411.753*cosh(0.6003043287e-1+0.2001014429e-1*Y[7])*(cos(.43*X-.3001521644)-cos(.43*X+.3001521644)))*(142796.8368+10800.80*cos(Y[1]))-1352*(5870*Y[4]^2*cos(Y[3])+540.04*(Y[4]+Y[2])^2*cos(Y[1]+Y[3])+13263.12+4502790.000*Y[7]+8441411.753*cosh(0.6003043287e-1+0.2001014429e-1*Y[7])*(cos(.43*X-.3001521644)-cos(.43*X+.3001521644)))*(7796.8368+5400.40*cos(Y[1]))^2+540.04*(5870*Y[4]^2*sin(Y[3])+540.04*(Y[4]+Y[2])^2*sin(Y[1]+Y[3])+2710.493534*sin(.43*X-0.2001014429e-1*Y[5]))*sin(Y[1]+Y[3])*(7796.8368+5400.40*cos(Y[1]))*(5870*cos(Y[3])+540.04*cos(Y[1]+Y[3]))-291643.2016*(5870*Y[4]^2*sin(Y[3])+540.04*(Y[4]+Y[2])^2*sin(Y[1]+Y[3])+2710.493534*sin(.43*X-0.2001014429e-1*Y[5]))*sin(Y[1]+Y[3])*cos(Y[1]+Y[3])*(142796.8368+10800.80*cos(Y[1]))+291643.2016*(5870*cos(Y[3])+540.04*cos(Y[1]+Y[3]))*cos(Y[1]+Y[3])*(-587*sin(Y[1])*(9.20*Y[2]^2-9.20*(Y[4]+Y[2])^2)+5297.7924*sin(Y[1]+Y[3])+57584.70*sin(Y[3]))*sin(Y[1]+Y[3])-540.04*(5870*cos(Y[3])+540.04*cos(Y[1]+Y[3]))^2*(-5297.7924*sin(Y[1]+Y[3])+5400.40*Y[4]^2*sin(Y[1]))*sin(Y[1]+Y[3])-10541323.3536*(-587*sin(Y[1])*(9.20*Y[2]^2-9.20*(Y[4]+Y[2])^2)+5297.7924*sin(Y[1]+Y[3])+57584.70*sin(Y[3]))*(-5870*sin(Y[1]+Y[3])-5870*sin(Y[3]))+1352*(-5297.7924*sin(Y[1]+Y[3])+5400.40*Y[4]^2*sin(Y[1]))*(7796.8368+5400.40*cos(Y[1]))*(-5870*sin(Y[1]+Y[3])-5870*sin(Y[3]))+7796.8368*(5870*Y[4]^2*sin(Y[3])+540.04*(Y[4]+Y[2])^2*sin(Y[1]+Y[3])+2710.493534*sin(.43*X-0.2001014429e-1*Y[5]))*(5870*cos(Y[3])+540.04*cos(Y[1]+Y[3]))*(-5870*sin(Y[1]+Y[3])-5870*sin(Y[3]))-540.04*(5870*Y[4]^2*sin(Y[3])+540.04*(Y[4]+Y[2])^2*sin(Y[1]+Y[3])+2710.493534*sin(.43*X-0.2001014429e-1*Y[5]))*cos(Y[1]+Y[3])*(7796.8368+5400.40*cos(Y[1]))*(-5870*sin(Y[1]+Y[3])-5870*sin(Y[3])))/(1460268.16*cos(Y[1]+Y[3])*(7796.8368+5400.40*cos(Y[1]))*(5870*cos(Y[3])+540.04*cos(Y[1]+Y[3]))-394301608.5632*cos(Y[1]+Y[3])^2*(142796.8368+10800.80*cos(Y[1]))+291643.2016*cos(Y[1]+Y[3])^2*(-540.04*sin(Y[1]+Y[3])-5870*sin(Y[3]))*(-5870*sin(Y[1]+Y[3])-5870*sin(Y[3]))+291643.2016*cos(Y[1]+Y[3])*sin(Y[1]+Y[3])*(5870*cos(Y[3])+540.04*cos(Y[1]+Y[3]))*(-5870*sin(Y[1]+Y[3])-5870*sin(Y[3]))-10541323.3536*(5870*cos(Y[3])+540.04*cos(Y[1]+Y[3]))^2+291643.2016*(5870*cos(Y[3])+540.04*cos(Y[1]+Y[3]))*cos(Y[1]+Y[3])*(-540.04*sin(Y[1]+Y[3])-5870*sin(Y[3]))*sin(Y[1]+Y[3])+291643.2016*(5870*cos(Y[3])+540.04*cos(Y[1]+Y[3]))^2*sin(Y[1]+Y[3])^2+2035121836544224.7506+153931588575265.01376*cos(Y[1])-10541323.3536*(-540.04*sin(Y[1]+Y[3])-5870*sin(Y[3]))*(-5870*sin(Y[1]+Y[3])-5870*sin(Y[3]))-1827904*(7796.8368+5400.40*cos(Y[1]))^2-730134.08*(7796.8368+5400.40*cos(Y[1]))*(-540.04*sin(Y[1]+Y[3])-5870*sin(Y[3]))*sin(Y[1]+Y[3])-730134.08*sin(Y[1]+Y[3])*(7796.8368+5400.40*cos(Y[1]))*(-5870*sin(Y[1]+Y[3])-5870*sin(Y[3]))-394301608.5632*sin(Y[1]+Y[3])^2*(142796.8368+10800.80*cos(Y[1]))); YP[1] := Y[2]; YP[3] := Y[4]; YP[5] := Y[6]; YP[7] := Y[8]; 0 end proc, -1, 0, 0, 0, 0, 0, 0]), ( 18 ) = ([]), ( 19 ) = (0)  ] ))  ] ); _y0 := Array(0..8, {(1) = 0., (2) = 0., (3) = 0., (4) = 0., (5) = 0., (6) = 0., (7) = 0., (8) = 0.}); _vmap := array( 1 .. 8, [( 1 ) = (1), ( 2 ) = (2), ( 3 ) = (3), ( 5 ) = (5), ( 4 ) = (4), ( 7 ) = (7), ( 6 ) = (6), ( 8 ) = (8)  ] ); _x0 := _dtbl[1][5][5]; _n := _dtbl[1][4][1]; _ne := _dtbl[1][4][3]; _nd := _dtbl[1][4][4]; _nv := _dtbl[1][4][16]; if not type(_xout, 'numeric') then if member(_xout, ["start", "left", "right"]) then if _Env_smart_dsolve_numeric = true or _dtbl[1][4][10] = 1 then if _xout = "left" then if type(_dtbl[2], 'table') then return _dtbl[2][5][1] end if elif _xout = "right" then if type(_dtbl[3], 'table') then return _dtbl[3][5][1] end if end if end if; return _dtbl[1][5][5] elif _xout = "method" then return _dtbl[1][15] elif _xout = "storage" then return evalb(_dtbl[1][4][10] = 1) elif _xout = "leftdata" then if not type(_dtbl[2], 'array') then return NULL else return eval(_dtbl[2]) end if elif _xout = "rightdata" then if not type(_dtbl[3], 'array') then return NULL else return eval(_dtbl[3]) end if elif _xout = "enginedata" then return eval(_dtbl[1]) elif _xout = "enginereset" then _dtbl[2] := evaln(_dtbl[2]); _dtbl[3] := evaln(_dtbl[3]); return NULL elif _xout = "initial" then return procname(_y0[0]) elif _xout = "laxtol" then return _dtbl[`if`(member(_dtbl[4], {2, 3}), _dtbl[4], 1)][5][18] elif _xout = "numfun" then return `if`(member(_dtbl[4], {2, 3}), _dtbl[_dtbl[4]][4][18], 0) elif _xout = "parameters" then return [seq(_y0[_n+_i], _i = 1 .. nops(_pars))] elif _xout = "initial_and_parameters" then return procname(_y0[0]), [seq(_y0[_n+_i], _i = 1 .. nops(_pars))] elif _xout = "last" then if _dtbl[4] <> 2 and _dtbl[4] <> 3 or _x0-_dtbl[_dtbl[4]][5][1] = 0. then error "no information is available on last computed point" else _xout := _dtbl[_dtbl[4]][5][1] end if elif _xout = "function" then if _dtbl[1][4][33]-2. = 0 then return eval(_dtbl[1][10], 1) else return eval(_dtbl[1][10][1], 1) end if elif _xout = "map" then return copy(_vmap) elif type(_xin, `=`) and type(rhs(_xin), 'list') and member(lhs(_xin), {"initial", "parameters", "initial_and_parameters"}) then _ini, _par := [], []; if lhs(_xin) = "initial" then _ini := rhs(_xin) elif lhs(_xin) = "parameters" then _par := rhs(_xin) elif select(type, rhs(_xin), `=`) <> [] then _par, _ini := selectremove(type, rhs(_xin), `=`) elif nops(rhs(_xin)) < nops(_pars)+1 then error "insufficient data for specification of initial and parameters" else _par := rhs(_xin)[-nops(_pars) .. -1]; _ini := rhs(_xin)[1 .. -nops(_pars)-1] end if; _xout := lhs(_xout); if _par <> [] then `dsolve/numeric/process_parameters`(_n, _pars, _par, _y0) end if; if _ini <> [] then `dsolve/numeric/process_initial`(_n-_ne, _ini, _y0, _pars, _vmap) end if; `dsolve/numeric/SC/reinitialize`(_dtbl, _y0, _n, procname, _pars); if _Env_smart_dsolve_numeric = true and type(_y0[0], 'numeric') and _dtbl[1][4][10] <> 1 then procname("right") := _y0[0]; procname("left") := _y0[0] end if; if _xout = "initial" then return [_y0[0], seq(_y0[_vmap[_i]], _i = 1 .. _n-_ne)] elif _xout = "parameters" then return [seq(_y0[_n+_i], _i = 1 .. nops(_pars))] else return [_y0[0], seq(_y0[_vmap[_i]], _i = 1 .. _n-_ne)], [seq(_y0[_n+_i], _i = 1 .. nops(_pars))] end if elif _xin = "eventstop" then if _nv = 0 then error "this solution has no events" end if; _i := _dtbl[4]; if _i <> 2 and _i <> 3 then return 0 end if; if _dtbl[_i][4][10] = 1 and assigned(_dtbl[5-_i]) and _dtbl[_i][4][9] < 10 and 10 <= _dtbl[5-_i][4][9] then _i := 5-_i; _dtbl[4] := _i; _j := round(_dtbl[_i][4][17]); return round(_dtbl[_i][3][1][_j, 1]) elif 10 <= _dtbl[_i][4][9] then _j := round(_dtbl[_i][4][17]); return round(_dtbl[_i][3][1][_j, 1]) else return 0 end if elif _xin = "eventstatus" then if _nv = 0 then error "this solution has no events" end if; _i := [selectremove(proc (a) options operator, arrow; _dtbl[1][3][1][a, 7] = 1 end proc, {seq(_j, _j = 1 .. round(_dtbl[1][3][1][_nv+1, 1]))})]; return ':-enabled' = _i[1], ':-disabled' = _i[2] elif _xin = "eventclear" then if _nv = 0 then error "this solution has no events" end if; _i := _dtbl[4]; if _i <> 2 and _i <> 3 then error "no events to clear" end if; if _dtbl[_i][4][10] = 1 and assigned(_dtbl[5-_i]) and _dtbl[_i][4][9] < 10 and 10 < _dtbl[5-_i][4][9] then _dtbl[4] := 5-_i; _i := 5-_i end if; if _dtbl[_i][4][9] < 10 then error "no events to clear" elif _nv < _dtbl[_i][4][9]-10 then error "event error condition cannot be cleared" else _j := _dtbl[_i][4][9]-10; if irem(round(_dtbl[_i][3][1][_j, 4]), 2) = 1 then error "retriggerable events cannot be cleared" end if; _j := round(_dtbl[_i][3][1][_j, 1]); for _k to _nv do if _dtbl[_i][3][1][_k, 1] = _j then if _dtbl[_i][3][1][_k, 2] = 3 then error "range events cannot be cleared" end if; _dtbl[_i][3][1][_k, 8] := _dtbl[_i][3][1][_nv+1, 8] end if end do; _dtbl[_i][4][17] := 0; _dtbl[_i][4][9] := 0; if _dtbl[1][4][10] = 1 then if _i = 2 then try procname(procname("left")) catch:  end try else try procname(procname("right")) catch:  end try end if end if end if; return  elif type(_xin, `=`) and member(lhs(_xin), {"eventdisable", "eventenable"}) then if _nv = 0 then error "this solution has no events" end if; if type(rhs(_xin), {('list')('posint'), ('set')('posint')}) then _i := {op(rhs(_xin))} elif type(rhs(_xin), 'posint') then _i := {rhs(_xin)} else error "event identifiers must be integers in the range 1..%1", round(_dtbl[1][3][1][_nv+1, 1]) end if; if select(proc (a) options operator, arrow; _nv < a end proc, _i) <> {} then error "event identifiers must be integers in the range 1..%1", round(_dtbl[1][3][1][_nv+1, 1]) end if; _k := {}; for _j to _nv do if member(round(_dtbl[1][3][1][_j, 1]), _i) then _k := `union`(_k, {_j}) end if end do; _i := _k; if lhs(_xin) = "eventdisable" then _dtbl[4] := 0; _j := [evalb(assigned(_dtbl[2]) and member(_dtbl[2][4][17], _i)), evalb(assigned(_dtbl[3]) and member(_dtbl[3][4][17], _i))]; for _k in _i do _dtbl[1][3][1][_k, 7] := 0; if assigned(_dtbl[2]) then _dtbl[2][3][1][_k, 7] := 0 end if; if assigned(_dtbl[3]) then _dtbl[3][3][1][_k, 7] := 0 end if end do; if _j[1] then for _k to _nv+1 do if _k <= _nv and not type(_dtbl[2][3][4][_k, 1], 'undefined') then userinfo(3, {'events', 'eventreset'}, `reinit #2, event code `, _k, ` to defined init `, _dtbl[2][3][4][_k, 1]); _dtbl[2][3][1][_k, 8] := _dtbl[2][3][4][_k, 1] elif _dtbl[2][3][1][_k, 2] = 0 and irem(iquo(round(_dtbl[2][3][1][_k, 4]), 32), 2) = 1 then userinfo(3, {'events', 'eventreset'}, `reinit #2, event code `, _k, ` to rate hysteresis init `, _dtbl[2][5][24]); _dtbl[2][3][1][_k, 8] := _dtbl[2][5][24] elif _dtbl[2][3][1][_k, 2] = 0 and irem(iquo(round(_dtbl[2][3][1][_k, 4]), 2), 2) = 0 then userinfo(3, {'events', 'eventreset'}, `reinit #2, event code `, _k, ` to initial init `, _x0); _dtbl[2][3][1][_k, 8] := _x0 else userinfo(3, {'events', 'eventreset'}, `reinit #2, event code `, _k, ` to fireinitial init `, _x0-1); _dtbl[2][3][1][_k, 8] := _x0-1 end if end do; _dtbl[2][4][17] := 0; _dtbl[2][4][9] := 0; if _dtbl[1][4][10] = 1 then procname(procname("left")) end if end if; if _j[2] then for _k to _nv+1 do if _k <= _nv and not type(_dtbl[3][3][4][_k, 2], 'undefined') then userinfo(3, {'events', 'eventreset'}, `reinit #3, event code `, _k, ` to defined init `, _dtbl[3][3][4][_k, 2]); _dtbl[3][3][1][_k, 8] := _dtbl[3][3][4][_k, 2] elif _dtbl[3][3][1][_k, 2] = 0 and irem(iquo(round(_dtbl[3][3][1][_k, 4]), 32), 2) = 1 then userinfo(3, {'events', 'eventreset'}, `reinit #3, event code `, _k, ` to rate hysteresis init `, _dtbl[3][5][24]); _dtbl[3][3][1][_k, 8] := _dtbl[3][5][24] elif _dtbl[3][3][1][_k, 2] = 0 and irem(iquo(round(_dtbl[3][3][1][_k, 4]), 2), 2) = 0 then userinfo(3, {'events', 'eventreset'}, `reinit #3, event code `, _k, ` to initial init `, _x0); _dtbl[3][3][1][_k, 8] := _x0 else userinfo(3, {'events', 'eventreset'}, `reinit #3, event code `, _k, ` to fireinitial init `, _x0+1); _dtbl[3][3][1][_k, 8] := _x0+1 end if end do; _dtbl[3][4][17] := 0; _dtbl[3][4][9] := 0; if _dtbl[1][4][10] = 1 then procname(procname("right")) end if end if else for _k in _i do _dtbl[1][3][1][_k, 7] := 1 end do; _dtbl[2] := evaln(_dtbl[2]); _dtbl[3] := evaln(_dtbl[3]); _dtbl[4] := 0; if _dtbl[1][4][10] = 1 then if _x0 <= procname("right") then try procname(procname("right")) catch:  end try end if; if procname("left") <= _x0 then try procname(procname("left")) catch:  end try end if end if end if; return  elif type(_xin, `=`) and lhs(_xin) = "eventfired" then if not type(rhs(_xin), 'list') then error "'eventfired' must be specified as a list" end if; if _nv = 0 then error "this solution has no events" end if; if _dtbl[4] <> 2 and _dtbl[4] <> 3 then error "'direction' must be set prior to calling/setting 'eventfired'" end if; _i := _dtbl[4]; _val := NULL; if not assigned(_EnvEventRetriggerWarned) then _EnvEventRetriggerWarned := false end if; for _k in rhs(_xin) do if type(_k, 'integer') then _src := _k elif type(_k, 'integer' = 'anything') and type(evalf(rhs(_k)), 'numeric') then _k := lhs(_k) = evalf[max(Digits, 18)](rhs(_k)); _src := lhs(_k) else error "'eventfired' entry is not valid: %1", _k end if; if _src < 1 or round(_dtbl[1][3][1][_nv+1, 1]) < _src then error "event identifiers must be integers in the range 1..%1", round(_dtbl[1][3][1][_nv+1, 1]) end if; _src := {seq(`if`(_dtbl[1][3][1][_j, 1]-_src = 0., _j, NULL), _j = 1 .. _nv)}; if nops(_src) <> 1 then error "'eventfired' can only be set/queried for root-finding events and time/interval events" end if; _src := _src[1]; if _dtbl[1][3][1][_src, 2] <> 0. and _dtbl[1][3][1][_src, 2]-2. <> 0. then error "'eventfired' can only be set/queried for root-finding events and time/interval events" elif irem(round(_dtbl[1][3][1][_src, 4]), 2) = 1 then if _EnvEventRetriggerWarned = false then WARNING(`'eventfired' has no effect on events that retrigger`) end if; _EnvEventRetriggerWarned := true end if; if _dtbl[_i][3][1][_src, 2] = 0 and irem(iquo(round(_dtbl[_i][3][1][_src, 4]), 32), 2) = 1 then _val := _val, undefined elif type(_dtbl[_i][3][4][_src, _i-1], 'undefined') or _i = 2 and _dtbl[2][3][1][_src, 8] < _dtbl[2][3][4][_src, 1] or _i = 3 and _dtbl[3][3][4][_src, 2] < _dtbl[3][3][1][_src, 8] then _val := _val, _dtbl[_i][3][1][_src, 8] else _val := _val, _dtbl[_i][3][4][_src, _i-1] end if; if type(_k, `=`) then if _dtbl[_i][3][1][_src, 2] = 0 and irem(iquo(round(_dtbl[_i][3][1][_src, 4]), 32), 2) = 1 then error "cannot set event code for a rate hysteresis event" end if; userinfo(3, {'events', 'eventreset'}, `manual set event code `, _src, ` to value `, rhs(_k)); _dtbl[_i][3][1][_src, 8] := rhs(_k); _dtbl[_i][3][4][_src, _i-1] := rhs(_k) end if end do; return [_val] elif type(_xin, `=`) and lhs(_xin) = "direction" then if not member(rhs(_xin), {-1, 1, ':-left', ':-right'}) then error "'direction' must be specified as either '1' or 'right' (positive) or '-1' or 'left' (negative)" end if; _src := `if`(_dtbl[4] = 2, -1, `if`(_dtbl[4] = 3, 1, undefined)); _i := `if`(member(rhs(_xin), {1, ':-right'}), 3, 2); _dtbl[4] := _i; _dtbl[_i] := `dsolve/numeric/SC/IVPdcopy`(_dtbl[1], `if`(assigned(_dtbl[_i]), _dtbl[_i], NULL)); if 0 < _nv then for _j to _nv+1 do if _j <= _nv and not type(_dtbl[_i][3][4][_j, _i-1], 'undefined') then userinfo(3, {'events', 'eventreset'}, `reinit #4, event code `, _j, ` to defined init `, _dtbl[_i][3][4][_j, _i-1]); _dtbl[_i][3][1][_j, 8] := _dtbl[_i][3][4][_j, _i-1] elif _dtbl[_i][3][1][_j, 2] = 0 and irem(iquo(round(_dtbl[_i][3][1][_j, 4]), 32), 2) = 1 then userinfo(3, {'events', 'eventreset'}, `reinit #4, event code `, _j, ` to rate hysteresis init `, _dtbl[_i][5][24]); _dtbl[_i][3][1][_j, 8] := _dtbl[_i][5][24] elif _dtbl[_i][3][1][_j, 2] = 0 and irem(iquo(round(_dtbl[_i][3][1][_j, 4]), 2), 2) = 0 then userinfo(3, {'events', 'eventreset'}, `reinit #4, event code `, _j, ` to initial init `, _x0); _dtbl[_i][3][1][_j, 8] := _x0 else userinfo(3, {'events', 'eventreset'}, `reinit #4, event code `, _j, ` to fireinitial init `, _x0-2*_i+5.0); _dtbl[_i][3][1][_j, 8] := _x0-2*_i+5.0 end if end do end if; return _src elif _xin = "eventcount" then if _dtbl[1][3][1] = 0 or _dtbl[4] <> 2 and _dtbl[4] <> 3 then return 0 else return round(_dtbl[_dtbl[4]][3][1][_nv+1, 12]) end if else return "procname" end if end if; if _xout = _x0 then return [_x0, seq(evalf(_dtbl[1][6][_vmap[_i]]), _i = 1 .. _n-_ne)] end if; _i := `if`(_x0 <= _xout, 3, 2); if _xin = "last" and 0 < _dtbl[_i][4][9] and _dtbl[_i][4][9] < 10 then _dat := eval(_dtbl[_i], 2); _j := _dat[4][20]; return [_dat[11][_j, 0], seq(_dat[11][_j, _vmap[_i]], _i = 1 .. _n-_ne-_nd), seq(_dat[8][1][_vmap[_i]], _i = _n-_ne-_nd+1 .. _n-_ne)] end if; if not type(_dtbl[_i], 'array') then _dtbl[_i] := `dsolve/numeric/SC/IVPdcopy`(_dtbl[1], `if`(assigned(_dtbl[_i]), _dtbl[_i], NULL)); if 0 < _nv then for _j to _nv+1 do if _j <= _nv and not type(_dtbl[_i][3][4][_j, _i-1], 'undefined') then userinfo(3, {'events', 'eventreset'}, `reinit #5, event code `, _j, ` to defined init `, _dtbl[_i][3][4][_j, _i-1]); _dtbl[_i][3][1][_j, 8] := _dtbl[_i][3][4][_j, _i-1] elif _dtbl[_i][3][1][_j, 2] = 0 and irem(iquo(round(_dtbl[_i][3][1][_j, 4]), 32), 2) = 1 then userinfo(3, {'events', 'eventreset'}, `reinit #5, event code `, _j, ` to rate hysteresis init `, _dtbl[_i][5][24]); _dtbl[_i][3][1][_j, 8] := _dtbl[_i][5][24] elif _dtbl[_i][3][1][_j, 2] = 0 and irem(iquo(round(_dtbl[_i][3][1][_j, 4]), 2), 2) = 0 then userinfo(3, {'events', 'eventreset'}, `reinit #5, event code `, _j, ` to initial init `, _x0); _dtbl[_i][3][1][_j, 8] := _x0 else userinfo(3, {'events', 'eventreset'}, `reinit #5, event code `, _j, ` to fireinitial init `, _x0-2*_i+5.0); _dtbl[_i][3][1][_j, 8] := _x0-2*_i+5.0 end if end do end if end if; if _xin <> "last" then if 0 < 0 then if `dsolve/numeric/checkglobals`(op(_dtbl[1][14]), _pars, _n, _y0) then `dsolve/numeric/SC/reinitialize`(_dtbl, _y0, _n, procname, _pars, _i) end if end if; if _dtbl[1][4][7] = 0 then error "parameters must be initialized before solution can be computed" end if end if; _dat := eval(_dtbl[_i], 2); _dtbl[4] := _i; try _src := `dsolve/numeric/SC/IVPrun`(_dat, _xout) catch: userinfo(2, `dsolve/debug`, print(`Exception in solnproc:`, [lastexception][2 .. -1])); error  end try; if _src = 0 and 10 < _dat[4][9] then _val := _dat[3][1][_nv+1, 8] else _val := _dat[11][_dat[4][20], 0] end if; if _src <> 0 or _dat[4][9] <= 0 then _dtbl[1][5][1] := _xout else _dtbl[1][5][1] := _val end if; if _i = 3 and _val < _xout then Rounding := -infinity; if _dat[4][9] = 1 then error "cannot evaluate the solution further right of %1, probably a singularity", evalf[8](_val) elif _dat[4][9] = 2 then error "cannot evaluate the solution further right of %1, maxfun limit exceeded (see <a href='http://www.maplesoft.com/support/help/search.aspx?term=dsolve,maxfun' target='_new'>?dsolve,maxfun</a> for details)", evalf[8](_val) elif _dat[4][9] = 3 then if _dat[4][25] = 3 then error "cannot evaluate the solution past the initial point, problem may be initially singular or improperly set up" else error "cannot evaluate the solution past the initial point, problem may be complex, initially singular or improperly set up" end if elif _dat[4][9] = 4 then error "cannot evaluate the solution further right of %1, accuracy goal cannot be achieved with specified 'minstep'", evalf[8](_val) elif _dat[4][9] = 5 then error "cannot evaluate the solution further right of %1, too many step failures, tolerances may be too loose for problem", evalf[8](_val) elif 10 < _dat[4][9] then if _dat[4][9]-10 = _nv+1 then error "constraint projection failure on event at t=%1", evalf[8](_val) elif _dat[4][9]-10 = _nv+2 then error "index-1 and derivative evaluation failure on event at t=%1", evalf[8](_val) elif _dat[4][9]-10 = _nv+3 then error "maximum number of event iterations reached (%1) at t=%2", round(_dat[3][1][_nv+1, 3]), evalf[8](_val) else if _Env_dsolve_nowarnstop <> true then `dsolve/numeric/warning`(StringTools:-FormatMessage("cannot evaluate the solution further right of %1, event #%2 triggered a halt", evalf[8](_val), round(_dat[3][1][_dat[4][9]-10, 1]))) end if; Rounding := 'nearest'; _xout := _val end if else error "cannot evaluate the solution further right of %1", evalf[8](_val) end if elif _i = 2 and _xout < _val then Rounding := infinity; if _dat[4][9] = 1 then error "cannot evaluate the solution further left of %1, probably a singularity", evalf[8](_val) elif _dat[4][9] = 2 then error "cannot evaluate the solution further left of %1, maxfun limit exceeded (see <a href='http://www.maplesoft.com/support/help/search.aspx?term=dsolve,maxfun' target='_new'>?dsolve,maxfun</a> for details)", evalf[8](_val) elif _dat[4][9] = 3 then if _dat[4][25] = 3 then error "cannot evaluate the solution past the initial point, problem may be initially singular or improperly set up" else error "cannot evaluate the solution past the initial point, problem may be complex, initially singular or improperly set up" end if elif _dat[4][9] = 4 then error "cannot evaluate the solution further left of %1, accuracy goal cannot be achieved with specified 'minstep'", evalf[8](_val) elif _dat[4][9] = 5 then error "cannot evaluate the solution further left of %1, too many step failures, tolerances may be too loose for problem", evalf[8](_val) elif 10 < _dat[4][9] then if _dat[4][9]-10 = _nv+1 then error "constraint projection failure on event at t=%1", evalf[8](_val) elif _dat[4][9]-10 = _nv+2 then error "index-1 and derivative evaluation failure on event at t=%1", evalf[8](_val) elif _dat[4][9]-10 = _nv+3 then error "maximum number of event iterations reached (%1) at t=%2", round(_dat[3][1][_nv+1, 3]), evalf[8](_val) else if _Env_dsolve_nowarnstop <> true then `dsolve/numeric/warning`(StringTools:-FormatMessage("cannot evaluate the solution further left of %1, event #%2 triggered a halt", evalf[8](_val), round(_dat[3][1][_dat[4][9]-10, 1]))) end if; Rounding := 'nearest'; _xout := _val end if else error "cannot evaluate the solution further left of %1", evalf[8](_val) end if end if; if _EnvInFsolve = true then _dig := _dat[4][26]; _dat[4][26] := _EnvDSNumericSaveDigits; _Env_dsolve_SC_native := true; if _dat[4][25] = 1 then _i := 1; _dat[4][25] := 2 else _i := _dat[4][25] end if; _val := `dsolve/numeric/SC/IVPval`(_dat, _xout, _src); _dat[4][25] := _i; _dat[4][26] := _dig; [_xout, seq(_val[_vmap[_i]], _i = 1 .. _n-_ne)] else Digits := _dat[4][26]; _val := `dsolve/numeric/SC/IVPval`(eval(_dat, 2), _xout, _src); [_xout, seq(_val[_vmap[_i]], _i = 1 .. _n-_ne)] end if end proc, (2) = Array(0..0, {}), (3) = [t, alpha(t), diff(alpha(t), t), theta(t), diff(theta(t), t), x(t), diff(x(t), t), z(t), diff(z(t), t)], (4) = []}); _vars := _dat[3]; _pars := map(rhs, _dat[4]); _n := nops(_vars)-1; _solnproc := _dat[1]; if not type(_xout, 'numeric') then if member(x_rkf45, ["start", 'start', "method", 'method', "left", 'left', "right", 'right', "leftdata", "rightdata", "enginedata", "eventstop", 'eventstop', "eventclear", 'eventclear', "eventstatus", 'eventstatus', "eventcount", 'eventcount', "laxtol", 'laxtol', "numfun", 'numfun', NULL]) then _res := _solnproc(convert(x_rkf45, 'string')); if 1 < nops([_res]) then return _res elif type(_res, 'array') then return eval(_res, 1) elif _res <> "procname" then return _res end if elif member(x_rkf45, ["last", 'last', "initial", 'initial', "parameters", 'parameters', "initial_and_parameters", 'initial_and_parameters', NULL]) then _xout := convert(x_rkf45, 'string'); _res := _solnproc(_xout); if _xout = "parameters" then return [seq(_pars[_i] = _res[_i], _i = 1 .. nops(_pars))] elif _xout = "initial_and_parameters" then return [seq(_vars[_i+1] = [_res][1][_i+1], _i = 0 .. _n), seq(_pars[_i] = [_res][2][_i], _i = 1 .. nops(_pars))] else return [seq(_vars[_i+1] = _res[_i+1], _i = 0 .. _n)] end if elif type(_xout, `=`) and member(lhs(_xout), ["initial", 'initial', "parameters", 'parameters', "initial_and_parameters", 'initial_and_parameters', NULL]) then _xout := convert(lhs(x_rkf45), 'string') = rhs(x_rkf45); if type(rhs(_xout), 'list') then _res := _solnproc(_xout) else error "initial and/or parameter values must be specified in a list" end if; if lhs(_xout) = "initial" then return [seq(_vars[_i+1] = _res[_i+1], _i = 0 .. _n)] elif lhs(_xout) = "parameters" then return [seq(_pars[_i] = _res[_i], _i = 1 .. nops(_pars))] else return [seq(_vars[_i+1] = [_res][1][_i+1], _i = 0 .. _n), seq(_pars[_i] = [_res][2][_i], _i = 1 .. nops(_pars))] end if elif type(_xout, `=`) and member(lhs(_xout), ["eventdisable", 'eventdisable', "eventenable", 'eventenable', "eventfired", 'eventfired', "direction", 'direction', NULL]) then return _solnproc(convert(lhs(x_rkf45), 'string') = rhs(x_rkf45)) elif _xout = "solnprocedure" then return eval(_solnproc) elif _xout = "sysvars" then return _vars end if; if procname <> unknown then return ('procname')(x_rkf45) else _ndsol; _ndsol := pointto(_dat[2][0]); return ('_ndsol')(x_rkf45) end if end if; try _res := _solnproc(_xout); [seq(_vars[_i+1] = _res[_i+1], _i = 0 .. _n)] catch: error  end try end proc

(10)

``

odeplot(solution,[[t,x(t)],[t,alpha(t)],[t,z(t)],[t,theta(t)]], t=0..1000, thickness=2);

Warning, cannot evaluate the solution further right of 46.041076, maxfun limit exceeded (see ?dsolve,maxfun for details)

 

 

 

odeplot(solution,[[t,x(t)]], t=0..1000, thickness=2);

Warning, cannot evaluate the solution further right of 46.041076, maxfun limit exceeded (see ?dsolve,maxfun for details)

 

 

 

odeplot(solution,[[t,z(t)]], t=0..1000, thickness=2);

Warning, cannot evaluate the solution further right of 46.041076, maxfun limit exceeded (see ?dsolve,maxfun for details)

 

 

 

odeplot(solution,[[t,alpha(t)]], t=0..1000, thickness=2);

Warning, cannot evaluate the solution further right of 46.041076, maxfun limit exceeded (see ?dsolve,maxfun for details)

 

 

 

odeplot(solution,[[t,theta(t)]], t=0..1000, thickness=2);

Warning, cannot evaluate the solution further right of 46.041076, maxfun limit exceeded (see ?dsolve,maxfun for details)

 

 

thank you 

maximum and minimum functions...

November 14 2013 adel-00 25

I tried to get the maximum and minimum values of the following function. From the plot I get them but its not accurate. Please advise me to get them accurate.

 

F:=0.85:B:=0.5:

K:=N->(N*(1+F*N/(N^2+B^2-F*N)));

 

implicitplot(((N^2+B^2-F*N)*K=N*(N^2+B^2-F*N+F*N),K=0..10,N=0..10,view=[0..5,0..4],numpoints=90000,axes=boxed,thickness=2,color=black,font=[1,1,20],tickmarks=[3, 3],linestyle=1));

 

Hi,

1-Triying to plot a function divided by its maximum value,sometimes it works with some parameters that means, the max.value of the plot is 1.

But when i change the data the max. value in the plot in graeter than 1 which is wrong!! should be 1.

dont know why??

2- Changing different data in the parameters, the programme takes long long time then i stop it?

 

please help me with these two problems.


restart:
>
------------------------- Defining the nature of the variables used ----------------------
assume(T,real):Digits:=25:n:=1:tau:=Pi:
theta:=0:phi:=0:
lambda:=n;Omega:=1:Gamma:=0.01:
--------------------- Input---------------------------------
1

J1

term1:=(exp((Gamma+I*d)*tau)-1)/(2*(Gamma+I*d)):
Ak1:=d->(exp((Gamma+I*(d+0.5*Omega-2*lambda*k/Gamma))*tau)-1)/(Gamma+I*(d+0.5*Omega-2*lambda*k/Gamma))+(exp((Gamma+I*(d-0.5*Omega+2*lambda*k/Gamma))*tau)-1)/(Gamma+I*(d-0.5*Omega+2*lambda*k/Gamma)):
Ak2:=d->(exp((Gamma+I*(d-0.5*Omega-2*lambda*k/Gamma))*tau)-1)/(Gamma+I*(d-0.5*Omega-2*lambda*k/Gamma))+(exp((Gamma+I*(d+0.5*Omega+2*lambda*k/Gamma))*tau)-1)/(Gamma+I*(d+0.5*Omega+2*lambda*k/Gamma)):
term2:=(evalf(-0.25*sum(BesselJ(k,Omega*Gamma/(4*n))*Ak1(d)+BesselJ(k,-(Omega*Gamma)/(4*n))*Ak2(d),k=0..50))):
J1:=(term1+term2):
J1mod:=(Re(J1))^2+(Im(J1))^2:
###### J2#########################
Ak1:=d->(exp((Gamma+I*(d+0.5*Omega-2*lambda*k/Gamma))*tau)-1)/(Gamma+I*(d+0.5*Omega-2*lambda*k/Gamma))-(exp((Gamma+I*(d-0.5*Omega+2*lambda*k/Gamma))*tau)-1)/(Gamma+I*(d-0.5*Omega+2*lambda*k/Gamma)):
Ak2:=d->(exp((Gamma+I*(d-0.5*Omega-2*lambda*k/Gamma))*tau)-1)/(Gamma+I*(d-0.5*Omega-2*lambda*k/Gamma))-(exp((Gamma+I*(d+0.5*Omega+2*lambda*k/Gamma))*tau)-1)/(Gamma+I*(d+0.5*Omega+2*lambda*k/Gamma)):

J2:=(evalf(-0.25*sum(BesselJ(k,Omega*Gamma/(4*n))*Ak1(d)+BesselJ(k,-Omega*Gamma/(4*n))*Ak2(d),k=0..100))):
######################

J2mod:=(Re(J2))^2+(Im(J2))^2:
J3 same as J1differ in sign
term1:=(exp((Gamma+I*d)*tau)-1)/(2*(Gamma+I*d)):
Ak1:=d->(exp((Gamma+I*(d+0.5*Omega-2*lambda*k/Gamma))*tau)-1)/(Gamma+I*(d+0.5*Omega-2*lambda*k/Gamma))+(exp((Gamma+I*(d-0.5*Omega+2*lambda*k/Gamma))*tau)-1)/(Gamma+I*(d-0.5*Omega+2*lambda*k/Gamma)):
Ak2:=d->(exp((Gamma+I*(d-0.5*Omega-2*lambda*k/Gamma))*tau)-1)/(Gamma+I*(d-0.5*Omega-2*lambda*k/Gamma))+(exp((Gamma+I*(d+0.5*Omega+2*lambda*k/Gamma))*tau)-1)/(Gamma+I*(d+0.5*Omega+2*lambda*k/Gamma)):
term2:=(evalf(0.25*sum(BesselJ(k,Omega*Gamma/(4*n))*Ak1(d)+BesselJ(k,-Omega*Gamma/(4*n))*Ak2(d),k=0..100))):
J3:=term1+term2:
J3mod:=(Re(J3))^2+(Im(J3))^2:
J4 same as J2 but -0.25-->2


J4:=-2*J2:
######################

J4mod:=(Re(J4))^2+(Im(J4))^2:

calculate the spectrum

 

Spec:=d->(exp(-2*Gamma*tau)*(J1mod*cos(theta/2)^2+J2mod+J3mod*sin(theta/2)^2-0.5*Re(J3*J4*sin(theta)*exp(I*phi))+0.5*Re(J1*J4*sin(theta)*exp(-I*phi)))):

with(plots):

tit:=sprintf("l=%g,W=%g,G=%g",lambda,Omega,Gamma):
Smax1:=max(seq(evalf(Spec(d)),d=-100..100)):
plot(evalf(Spec(d)/Smax1),d=-15..15,axes=boxed,title=tit,color=black,font=[2,3,18],thickness=2,tickmarks=[3,3],titlefont=[SYMBOL,14],font=[1,1,18],linestyle=1);

 

 

 

 

Hi,

I'm plotting this function of (x) which is very complicated expression anyway I plotted it..Now I want to plot the f(x)/max value of f(x)???

I appriciated for any advice...

would like to normalize it, how to find x such as 5.6 in this example

 

l := [20,8,22,38,49,36,59,41,32,21,23];

sl := gfun[listtoseries](l, x, egf);

g := convert(sl, ratpoly); 

g := g - subs(x=0, g);

g := g/subs(x=5.6, g); 

Hello

I am trying to plot solution of ode0 together with the maximum and minimum values but I am having difficulty since the first plot is a solution and second is values. I should have a plot with two line one represent the solution of ode0 and second (the max an min). Any advise or suggestion?

This is the code:

> restart;
with(DEtools); with(plots); Nsols := 5; Ntstep := 10;
 k := 0; A := 0.37e-1; B := 0.2e-6;
ode0 := diff(U(t), t) = -(A+B*U(t))*U(t);

Dear Mapleprimes,

 

I am trying to solve an Optimization problem analytically. I set up a lagrangian as follows:

 

L:= Objective function + mu_1 (constraint 1) + mu_2 (constraint 2)

 

I maximise with respect to two variables, call them x1 and x2

 

I want constraint one to bind but not constraint 2. Hence, I set mu_2=0. The I do:

 

diff(L,x1); diff(L,x2), diff(L,mu1), diff(L,mu2)

I'm using Linearalgebra where I have a 10x1 matrix. I want to find the closest element of the matrix to origo, and the furthest away from origo. Can anyone help me to a understandable solution? :)

Find the derivative of f(x)=|(x^3)-8*(x^2)+5*x+4|-0.5*x;x in [-1,7]

Find critical points of f(x) and dertimine the local maxima and local minima.

Output: Two lists of points (x,y), a list of local minima and a list of local maxima.

Hint: you may use Maple package Student[Calculus1]]

     use first derivative test to avoid 'kink' point i.e. undifferentiable point

     set delta=0.0001, test derivative around critical point x+delta and x-delta...

I need this quite often, but never found a nice way of getting the index of minimal or maximal value of a Vector (or a list or whatever). Is there an easier way than the following?

N := 15:
L := LinearAlgebra[RandomVector](N):
m := min(L):
for i to N do if L[i] = m then print(i); break end if end do;

1 2 Page 1 of 2