MaplePrimes Questions

> local `+`;
Error, unable to parse

 

meet difficulty running script in maple 12

restart;  local `+`;  `+`:=proc(a,b) :-`+`(a^`~2`,b^`~2`) end proc;

how to override plus + operator so that apply on matrix operation such as linearalgebra package

for example if + =  a^2+b^2

 

1 + 2 result in 5

 

and also apply on matrix multiplcation for each element

Hi all,
I am writing a procedure that I would like to have several outputs. The code is as follows:

Initialize := proc (p, theta, PiV, PiU, n, m)

J := CompJ(PiU, m);

for i to n do

if member(i, V) then

Ai[i] := CompAi(PiU, PiV, i, n, J)

end if

end do

end proc

The function calls other functions previously defined that are not important here. Basically I would like to return the set J and the list Ai, but I am not sure on how to do it. 

Once the procedure returns these elements, I would like to assign them to some variables. I am not sure on how this can be done when a function returns more than one thing.

Thanks in advance for the help
Bests
Manuele 

I have a system of linear differential equations and am trying to solve them using Fourier transforms.

I can reduce the system to a final result (for the variable of interest) in Fourier space as this (note the frequency variable is 'w'):

restart:

with(inttrans):

vout_fourier_num := fourier(phi[3](t), t, w) = 6.63569999999998*10^(-15)*w^2*fourier(V(t), t, w)/(-5.69875218358308*10^(-40)*w^4+(9.19473390627057*10^(-29)*I)*w^3+2.15219369729956*10^(-18)*w^2-(4.14691648617110*10^(-8)*I)*w-700.8);

#the drive can be defined as:
drive:=5.70000000000000*10^(-6)*exp(-3.18877551020408*10^18*(t-2.0*10^(-9))^2)*cos(4.8*10^9*Pi*(t-2.0*10^(-9)))*10^(19/20);

#substitute the drive in - this is not necessary, but it should work!...
vout_fourier_num2:=subs(V(t)=drive, vout_fourier_num);

#now take the inverse... note this gives 0!...
invfourier(vout_fourier_num2, w, t);

the final results calculated is zero. It is wrong... it seems like an accuracy issue, but increasing the digits does not help. I should note that I can calculate the solution directly via dsolve, and get completely reasonable answer.

any ideas how to get the Fourier method to work?

thanks!

hello

this is my program and fsolve for low intensity solve the equations but for high intensity cannot solve why?

this is my code:

ep0 := 1/(4*3.14);

el := 8.54*10^(-2);

hbar := 1;

vf := 1/300;

kb := 1;

tem := 2.586*10^(-2);

ci := 1;

p := 1.458*10^16;

beta := 2;

ai := 7.1*10^(-4);

bi := ai/sqrt(3);

enph := .196;

d := enph/(kb*tem);

n0 := 1/(exp(enph/(kb*tem))-1);

gama := hbar*vf;

intensity:=9000000

 

w := 7.28;

impurity := 7.2*10^3;

g := hbar*beta/(bi^2*sqrt(2*p*enph));

aa := g^2*(n0+1)/(2*Pi*hbar*gama^2);

bb := g^2*n0/(2*Pi*hbar*gama^2);

cc := 2/(Pi*gama^2);

l := (1*hbar)*w/(2*kb*tem);

 

u := el^2*intensity/(32*w*hbar^2);

[fsolve({op([((enph*ln(1+exp(c+enph/(kb*tem)))/(kb*tem)-polylog(2, -exp(c))+polylog(2, -exp(c+enph/(kb*tem))))*enph*(kb*tem)^2-(enph^2*ln(1+exp(c+enph/(kb*tem)))/(kb^2*tem^2)+2*enph*polylog(2, -exp(c+enph/(kb*tem)))/(kb*tem)+2*polylog(3, -exp(c))-2*polylog(3, -exp(c+enph/(kb*tem))))*(kb*tem)^3+(-exp(b)*enph*ln(1+exp(c+enph/(kb*tem)))+exp(c+d)*enph*ln(1+exp(b-d+enph/(kb*tem)))+exp(b)*kb*tem*polylog(2, -exp(c))-exp(c+d)*kb*tem*polylog(2, -exp(b-d))-exp(b)*kb*tem*polylog(2, -exp(c+enph/(kb*tem)))+exp(c+d)*kb*tem*polylog(2, -exp(b-d+enph/(kb*tem))))*enph*(kb*tem)^2/((exp(b)-exp(c+d))*kb*tem)+(exp(b)*enph^2*ln(1+exp(c+enph/(kb*tem)))-exp(c+d)*enph^2*ln(1+exp(b-d+enph/(kb*tem)))+2*exp(b)*enph*kb*tem*polylog(2, -exp(c+enph/(kb*tem)))-2*exp(c+d)*enph*kb*tem*polylog(2, -exp(b-d+enph/(kb*tem)))+2*exp(b)*kb^2*tem^2*polylog(3, -exp(c))-2*exp(c+d)*kb^2*tem^2*polylog(3, -exp(b-d))-2*exp(b)*kb^2*tem^2*polylog(3, -exp(c+enph/(kb*tem)))+2*exp(c+d)*kb^2*tem^2*polylog(3, -exp(b-d+enph/(kb*tem))))*(kb*tem)^3/((exp(b)-exp(c+d))*kb^2*tem^2))*bb+u*(1/(1+exp(-l-c))-1/((1+exp(-l-c))*(1+exp(l-b))))-(((1*enph)*(enph-2*kb*tem*ln(1+exp(-b+enph/(kb*tem))))/(2*kb^2*tem^2)+2*kb^2*tem^2*(-polylog(2, -exp(-b+enph/(kb*tem)))+polylog(2, -cosh(b)+sinh(b))))*enph*(kb*tem)^2-(enph^2*(enph-3*kb*tem*ln(1+exp(-b+enph/(kb*tem))))-6*kb^2*tem^2*(enph*polylog(2, -exp(-b+enph/(kb*tem)))+kb*tem*(-polylog(3, -exp(-b+enph/(kb*tem)))+polylog(3, -cosh(b)+sinh(b)))))*(kb*tem)^3/(3*kb^3*tem^3)-(-exp(b)*enph^2+exp(c+d)*enph^2-2*exp(c+d)*enph*kb*tem*ln(1+exp(-b+enph/(kb*tem)))+2*exp(b)*enph*kb*tem*ln(1+exp(-c-d+enph/(kb*tem)))+2*exp(c+d)*kb^2*tem^2*polylog(2, -exp(-b))-2*exp(b)*kb^2*tem^2*polylog(2, -exp(-c-d))-2*exp(c+d)*kb^2*tem^2*polylog(2, -exp(-b+enph/(kb*tem)))+2*exp(b)*kb^2*tem^2*polylog(2, -exp(-c-d+enph/(kb*tem))))*enph*(kb*tem)^2/((2*(-exp(b)+exp(c+d)))*kb^2*tem^2)-(exp(b)*enph^3-exp(c+d)*enph^3+3*exp(c+d)*enph^2*kb*tem*ln(1+exp(-b+enph/(kb*tem)))-3*exp(b)*enph^2*kb*tem*ln(1+exp(-c-d+enph/(kb*tem)))+6*exp(c+d)*enph*kb^2*tem^2*polylog(2, -exp(-b+enph/(kb*tem)))-6*exp(b)*enph*kb^2*tem^2*polylog(2, -exp(-c-d+enph/(kb*tem)))+6*exp(c+d)*kb^3*tem^3*polylog(3, -exp(-b))-6*exp(b)*kb^3*tem^3*polylog(3, -exp(-c-d))-6*exp(c+d)*kb^3*tem^3*polylog(3, -exp(-b+enph/(kb*tem)))+6*exp(b)*kb^3*tem^3*polylog(3, -exp(-c-d+enph/(kb*tem))))*(kb*tem)^3/((3*(-exp(b)+exp(c+d)))*kb^3*tem^3))*aa-u*(1/(1+exp(l-b))-1/((1+exp(-l-c))*(1+exp(l-b)))) = 0, -cc*polylog(2, -exp(b))+cc*polylog(2, -exp(-c))-impurity = 0])}, {op([b, c])})];

 

thank you.

hi,I want to solve this equation with the following boundary condition numerically by maple:

hello evreybody i have these Error :

restart:with(plots):
M:=765 : m:=587 :I:=76.3*10^3 :Jp:=7.3*10^3 :e:=10.92: F:=0.42: omega:=0.56 :ka:=0.1:kb:=0.1:kc:=0.1: lambda1:=0.1 :lambda2:=0.1:lambda3:=0.1:
Error, illegal use of an object as a name

 

please help 
thank you !

Is there away to quickly execute a specific section within Maple? I know that I can execute a selection, but that sometimes requires me to select several lines of Maple code and can be tedious and tiresome.

Hello, 

    I'm finding Maple very useful. I'm a student but not very far along, only in MATH-1075 (intermediate algebra).

 

I have learned how to plot equations using the context menu, and the smartplot() command.

 

I have two questions I have not been able to discover an answer for.

 

When I plot an equation, how can I ask Maple to tell me coordinates of X & Y intercepts?

When I plot 2 equations, how can I ask Maple to tell me coodinates of intersections?

 

thanks in advance for any help. I tried to look up myself how to do this but was unsuccessful :(

 

Brent

Hi every body:

i will plot this function in maple in domain x=0..1,but when use the plot commond i see this warning:

Warning, unable to evaluate the function to numeric values in the region; complex values were detected

how can I plot it?

eq := 4.728139762*10^(-14)*sqrt((-5.905404581*10^83*x^4-1.382542004*10^88*x^2+2.271592177*10^92+1.631888578*10^79*x^6+2.795756904*10^23*sqrt(-1.317535223*10^121*x^8+6.370084310*10^125*x^6-7.852926774*10^129*x^4+2.223707894*10^132*x^2-1.592721566*10^134))^(1/3)*(-(1.114348319*10^53*I)*x^4-6.433693022*10^52*x^4+(2.688368867*10^57*I)*x^2+1.552130489*10^57*x^2+5.072945110*10^26*x^2*(-5.905404581*10^83*x^4-1.382542004*10^88*x^2+2.271592177*10^92+1.631888578*10^79*x^6+2.795756904*10^23*sqrt(-1.317535223*10^121*x^8+6.370084310*10^125*x^6-7.852926774*10^129*x^4+2.223707894*10^132*x^2-1.592721566*10^134))^(1/3)-3.723246850*10^61-6.448852713*10^61*I+(1.732050808*I)*(-5.905404581*10^83*x^4-1.382542004*10^88*x^2+2.271592177*10^92+1.631888578*10^79*x^6+2.795756904*10^23*sqrt(-1.317535223*10^121*x^8+6.370084310*10^125*x^6-7.852926774*10^129*x^4+2.223707894*10^132*x^2-1.592721566*10^134))^(2/3)+1.231339558*10^31*(-5.905404581*10^83*x^4-1.382542004*10^88*x^2+2.271592177*10^92+1.631888578*10^79*x^6+2.795756904*10^23*sqrt(-1.317535223*10^121*x^8+6.370084310*10^125*x^6-7.852926774*10^129*x^4+2.223707894*10^132*x^2-1.592721566*10^134))^(1/3)-1.*(-5.905404581*10^83*x^4-1.382542004*10^88*x^2+2.271592177*10^92+1.631888578*10^79*x^6+2.795756904*10^23*sqrt(-1.317535223*10^121*x^8+6.370084310*10^125*x^6-7.852926774*10^129*x^4+2.223707894*10^132*x^2-1.592721566*10^134))^(2/3)))/(-5.905404581*10^83*x^4-1.382542004*10^88*x^2+2.271592177*10^92+1.631888578*10^79*x^6+2.795756904*10^23*sqrt(-1.317535223*10^121*x^8+6.370084310*10^125*x^6-7.852926774*10^129*x^4+2.223707894*10^132*x^2-1.592721566*10^134))^(1/3)

with regards...

 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 

sign is different runnning the same script in maple 12 and maple 15 in different machine, just using matrixmultiply and matrix(xxx, shape=hermitian)

assume my window 7 infected by virus, can maple prevent virus change

its accuracy?

or

is there any change between maple 12 and maple 15? 

 

i feel that i will have to make large effort in order to find reason such as reinstall maple 12.

 

window 7 maple 15

[[a = 3.720799777 10 , b = -3.720817167 10 ]], 0.3469023622
[(-0.737729376724384 + 0. I) ((-0.737729376724384100 + 0. I) a

+ (-0.738311510115612690 + 0. I) b) + (-0.590656319609631

- 0. I) ((-0.590656319609630831 + 0. I) a

+ (-0.589459378339369122 + 0. I) b) + (0.326925800179577

- 0. I) ((0.326925800179577230 + 0. I) a

+ (0.327770888454982090 + 0. I) b) = -0.736196608749071 + 0. I,

(-0.590656319609631 + 0. I) ((-0.591008582207233624 + 0. I) a

+ (-0.589459378339369010 + 0. I) b) + (0.331003458223746

+ 0. I) ((0.331003458223746439 + 0. I) a

+ (0.327770888454981812 + 0. I) b) + (-0.735625969091165

- 0. I) ((-0.735625969091165288 + 0. I) a

+ (-0.738311510115613134 + 0. I) b) = 0.327869065042947 + 0. I

]

window 8 maple 12

 


[[a = 0.2249293777, b = 1.221244758]], 0.9888653482, "************"
[(0.737729376724384100 + 0. I) ((0.737729376724384100 + 0. I) a

+ (-0.738311510115612690 + 0. I) b) + (0.590656319609631053 - 0. I)

((0.590656319609631053 + 0. I) a + (-0.589459378339369122 + 0. I) b) +

(0.326925800179576676 - 0. I) ((0.326925800179576676 + 0. I) a

+ (0.327770888454982090 + 0. I) b) = -0.736196608749071002 + 0. I,

(0.590656319609631053 + 0. I) ((0.591008582207233624 + 0. I) a

+ (-0.589459378339369010 + 0. I) b) + (-0.331003458223746605 + 0. I) ((
-0.331003458223746605 + 0. I) a + (0.327770888454981812 + 0. I) b) + (
-0.735625969091165178 - 0. I) ((-0.735625969091165178 + 0. I) a

+ (-0.738311510115613134 + 0. I) b) = 0.327869065042946218 + 0. I]
7

 

please help me to find an analytical approach to the below equation:

> ode3 := diff(n(t), t)+(1/2)*(-(3.707186000*(0.815e-1*(diff(n(t), t, t))+diff(n(t), t)))/(0.815e-1*(diff(n(t), t))+n(t))^(3/2)-(.1428*(1+0.714e-1*n(t)))*(diff(n(t), t)))/sqrt(7.414372/sqrt(0.815e-1*(diff(n(t), t))+n(t))-(1+0.714e-1*n(t))^2)+n(t)+sqrt(7.414372/sqrt(0.815e-1*(diff(n(t), t))+n(t))-(1+0.714e-1*n(t))^2)-(2.518891688*(1+.3570*n(t)))*sqrt(0.815e-1*(diff(n(t), t))+n(t)) = 0;
                                                                           /
                                                                           |
/ d      \                                 1                               |
|--- n(t)| + ------------------------------------------------------------- |
\ dt     /                                                           (1/2) |
               /           7.414372                                2\      |
             2 |------------------------------- - (1 + 0.0714 n(t)) |      |
               |                          (1/2)                     |      \
               |/       / d      \       \                          |       
               ||0.0815 |--- n(t)| + n(t)|                          |       
               \\       \ dt     /       /                          /       
              /       / d  / d      \\   / d      \\
  3.707186000 |0.0815 |--- |--- n(t)|| + |--- n(t)||
              \       \ dt \ dt     //   \ dt     //
- --------------------------------------------------
                                     (3/2)          
           /       / d      \       \               
           |0.0815 |--- n(t)| + n(t)|               
           \       \ dt     /       /               

                                        \       
                                        |       
                              / d      \|       
   - 0.1428 (1 + 0.0714 n(t)) |--- n(t)|| + n(t)
                              \ dt     /|       
                                        |       
                                        |       
                                        /       

                                                           (1/2)
     /           7.414372                                2\     
   + |------------------------------- - (1 + 0.0714 n(t)) |     
     |                          (1/2)                     |     
     |/       / d      \       \                          |     
     ||0.0815 |--- n(t)| + n(t)|                          |     
     \\       \ dt     /       /                          /     

                                                             (1/2)    
                                   /       / d      \       \         
   - 2.518891688 (1 + 0.3570 n(t)) |0.0815 |--- n(t)| + n(t)|      = 0
                                   \       \ dt     /       /         
> ics := n(0) = 0, (D(n))(0) = 674.5142595;


thanks and regards

louiza

 

How to create animation f(x)=x^2, g(x)=sqrt(x), x=0, and x=1 if rotation about line y=-1 and x=-1?

Thank for your attention and helping.

Hello everybody,

I am trying to solve a partial differential equation (wave equation) with initial conditions that contain derivative and x-varying values

My equation
Uxx – Utt = 0 (hiperbólica) where xx and tt denote second partial derivatives with respect to x and t
0 <= x <= 10; t > 0;
u(0,t) = u(10,t) = 0;
Ut(x,0) = 0;
u(x,0)=
x for 0 <= x < 5
10-x for 5 <= x <= 10

I ve defined my equation as follow
> PDE := diff(u(x,t),x,x)=diff(u(x,t),t,t);

I m first trying without the x-varying initial condition.

> IBC := {u(0,t)=0,u(10,t)=0,u(x,0)=10-x,diff(u(x,0), t) = 0};
Returns the ugly

And that gives error when trying to solve
> pds := pdsolve(PDE,IBC,numeric);
Error, (in pdsolve/numeric/process_IBCs) initial/boundary condition does not contain the dependent variables of the PDE: 0 = 0

Another try with
> IBC := {u(0,t)=0,u(10,t)=0,u(x,0)=10-x,diff(u(x,t=0), t) = 0};

Looks like more promissing but returns (in a solving attempt)
> pds := pdsolve(PDE,IBC,numeric);

Error, (in pdsolve/numeric/process_IBCs) initial/boundary conditions must depend upon exactly one of the independent variables: diff(u(x, t = 0), t) = 0


Regarding the x varying initial condition, I ve tried the `assuming` keyword in various attempts but without success.

Anybody could help on the matter?


Thanks in advance for anytip.
Have a good day
Nicolas

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