Items tagged with odeplot odeplot Tagged Items Feed

restart;
odes:=diff(x1(t),t)*diff(x2(t),t$2)*sin(x1(t)*x2(t))+5*diff(x1(t),t$2)*diff(x2(t),t)*cos(x1(t)^2)+t^2*x1(t)*x2(t)^2=exp(-x2(t)^2),diff(x1(t),t$2)*x2(t)+diff(x2(t),t$2)*diff(x1(t),t)*sin(x1(t)^2)+cos(diff(x2(t),t$2)*x2(t))=sin(t);
ics:=x1(0)=1,D(x1)(0)=1,x2(0)=2,D(x2)(0)=2;
subs(diff(x1(t),t$2)=yp2,diff(x2(t),t$2)=yp4,diff(x1(t),t)=Y[2],diff(x2(t),t)=Y[4],x1(t)=Y[1],x2(t)=Y[3],{odes});
p:=proc(N,t,Y,YP)
local eqs,yp2,yp4;
YP[1]=Y[2];
YP[3]=Y[4];
eqs:=[yp2*Y[3]+yp4*Y[2]*sin(Y[1]^2)+cos(yp4*Y[3]) = sin(t), Y[2]*yp4*sin(Y[1]*Y[3])+5*yp2*Y[4]*cos(Y[1]^2)+t^2*Y[1]*Y[3]^2 = exp(-Y[3]^2)];
YP[2],YP[4]:=op(subs(fsolve(eqs,{yp2=1,yp4=2}),[yp2,yp4]));
end proc:
res:=dsolve(numeric,procedure=p,initial=array([1,1,2,2]),number=4,procvars=[x1(t),diff(x1(t),t),x2(t),diff(x2(t),t)],start=0,maxfun=0);
plots:-odeplot(res,[t,x1(t)],0..5,gridlines=true);

It's a long time to wait for the odeplot.

Any advice is appreciated.

Hi all,

I would like to know how could I plot an ODE for 3 values of a parameter in the same figure.

sol:=dsolve(dsys,numeric,parameters=[t]);

p:=proc(t)sol(parameters=[t]); plots:-odeplot(sol,[x,f(x)],-1..0,_rest) end proc;

p(-1); p(-0.5); p(-0.1);

Here, I have 3 figures one for each value. I used with(plots): display(p(-1); p(-0.5); p(-0.1)). But doesn't work.

Thanks for your help.

 

Hello,

After solving ode I am looking only for the values >=1.5. For example at t=1, y(t)=3.8940.

How can I extract the values >= 1.5 from the solution to use it as data (t,y(t)) and save it ?

restart;
with(DEtools); with(plots);
eqn := diff(y(t), t) = -.25*y(t);

 init := y(0) = 5;

sol := dsolve({eqn, init}, {y(t)}, numeric, output = array([seq(i, i = 0 .. 50)]));
p[1] := plot(1.5, t = 0 .. 50, colour = black);

p[2] := odeplot(sol, [t, y(t)], t = 0 .. .50, colour = red);

display(p[1], p[2]);

 

Thanks

Hello,

The idea: parameter "a" will have a new random value each 10 days.

The way I did it is working but it can get very long especially if I do it for a system of equations and for long time more than a year (365 days).

The code:

with(DEtools); with(plots);
n := 5;

for i to n do Ra[i] := RandomTools:-Generate(distribution(Uniform(0.1e-1, .5))); a[[i]] := Ra[i] end do;

b := 0.1e-2;

T := 10;

 eq := diff(L(t), t) = a*L(t)-b;

init[1] := L(0) = 100;
 sol[1] := dsolve({init[1], subs(a = a[[1]], eq)}, L(t), range = 0 .. T, numeric);


init[2] := L(T) = rhs(sol[1](T)[2]);

sol[2] := dsolve({init[2], subs(a = a[[2]], eq)}, L(t), range = T .. 2*T, numeric);

 

init[3] := L(2*T) = rhs(sol[2](2*T)[2]);
sol[3] := dsolve({init[3], subs(a = a[[3]], eq)}, L(t), range = 2*T .. 3*T, numeric);

p[1] := odeplot(sol[1], [t, L(t)], t = 0 .. T);

p[2] := odeplot(sol[2], [t, L(t)], t = T .. 2*T);

p[3] := odeplot(sol[3], [t, L(t)], t = 2*T .. 3*T);

p := display([p[1], p[2], p[3]]);
display(p);

 

Thank you

Hello everyone. I am trying to make a position time graph of a charged particle in an gravitational and electric field. This is just for an application of Maple to Lagrangian mechanics. I have set up my Lagrangian, did the Euler-Lagrange equation, and solved the differential equation. When I go to plot it, just the axes show up and I dont have a line. I have followed other examples of Lagrangian mechanics in Maple and its still not working. Here is the code for the odeplot:

Eq7:=dsolve({Eq6,initial},{q(t)},numeric,output=listprocedure)

odeplot(Eq7,t=0..10)

Eq6 is the Euler-Lagrange equation for my system, initial is the initial values, and q(t) is the position of the particle.

Any suggestions will help.

 

 

Dear All,

I solve an equation  as follows,

m:=dsolve({T(0) = 300, diff(T(t), t) = (min(G1, G2)-Loss)*(1/35513)}, T(t), numeric)

G1,G2, and Loss are functions of T and G1 and Loss are tangent at point A where T=600, when I want to plot the dsolve solution by odeplot,like this

odeplot(m, [t, T(t)], 0 .. 800)]

I got a curve whose maximum value  is  600( equal to the tangent value) and actually the value should increase after passing the tangent point, Who can tell me where is the problem. Thanks.

Hi there,

I am trying to maximize a function given a set of values to a parameter in the function. The function is an differential equation belonging to a system of two differential equations.

I have a for loop to state different values to the parameter.

Maple yields the error:

Error, (in Optimization:-NLPSolve) cannot evaluate the solution further right of 0.17757507e-4, probably a singularity

When trying to maximize the function.

Supposed that I was doing something wrong in the loop, if I reproduce the contents of the loop outside, and set a value for the parameter. If I plot the solution of the ordinary differential equation, I can see where the maximum lies.

Having plot it, the Optimizamtion:-Maximize works as expected.

However, omitting the plot has a weird effect: I only get the same result depending on the bounds I set for the Maximization:

de1 := diff(A(t), t) = r*m*(1-g)*A(t)-piecewise(t < 8, r*A(t), t >= 8, (r+k)*A(t));
de2 := diff(G(t), t) = r*m*g*A(t)-l*G(t);

ics := A(0) = 25.0, G(0) = 0.;
num := dsolve({de1, de2, ics}, {A(t), G(t)}, type = numeric, output = listprocedure, parameters = [g]);

num(parameters = [g = .15]);
val := eval(G(t), num);

# odeplot(val, [t, G(t)], t = 0 .. 100);


Maximize(val);
Error, (in Optimization:-NLPSolve) cannot evaluate the solution further right of 0.17757507e-4, probably a singularity

val2 := Maximize(val);

Error, (in Optimization:-NLPSolve) cannot evaluate the solution further right of 0.17757507e-4, probably a singularity

val3 := Maximize(val(t), t = 0 .. 60);

  [10267.824035766165, [t = 8.25727747134303]]

val4 := Maximize(val(t), t = 0 .. 100);

[6.863211343195069e-9, [t = 59.84184367042171]]

 

The right answer is [10267.824035766165, [t = 8.25727747134303]]: Why do I get two different answers even if in that range there is only one relative maximum?

I ignore whether the way I am specifying the arguments for the Maximize function is correct. val is a procedure.

 

What am I missing?

Attached is the worksheet: MaplePrimes_malaria_param_variation_2.mw

 

Thanks,

jon

Hello,

I am trying to make c (0.001<=c<=0.02) a random value at each time step.But with my code c is choosing randomly from the interval then solveing the equation for fixed c at each time step.

How can I mack c a diffrent random value at each time step?

This is my code:

> with(DEtools); with(plots);
>
> Ra := RandomTools:-Generate(distribution(Uniform(0.001, 0.02))); c := Ra;
> f := .1;
>
> eq := diff(X(t), t) = 1-f-c*X(t);
>
> init := X(0) = 100;
>
> sol := dsolve({eq, init}, {X(t)}, range = 0 .. 100, numeric);
>
> odeplot(sol, [[t, X(t)]], t = 0 .. 100);

 

Thank you

Hi there,
I am wondering how to print parentheses in the legend of an odeplot.

The following command

odeplot(numsolnf, [[t, CECnf(t)], [t, VECnf(t)], [t, CICnf(t)], [t, VICnf(t)]], 0..50, opts, legend = ['Extracelular urea concentration (mg/dL)', 'Extracelular urea volume (L)', 'Intracelular urea concentration (mg/dL)', 'Intracelular urea volume (L)'])

where numsolnf is the numerical solution of the equation system composed by CECnf(t), VECnf(t), CICnf(t), and
VICnf(t) produces no parentheses.

And the "Extracelular urea concentration (mg/dL)" and "Intracelular urea concentration (mg/dL)" are displayed as if the whole text was a quotient:


Extracelular urea concentration mg
dL

Any ideas about how to solve these issues?

Thanks,
jon

I have been having problems with using the BodePlot function with units:

 

R1 := 18.2*10^3*Unit('Omega');

R2 := 10^3*Unit('Omega');

C1 := 470*10^(-12)*Unit('F');

C2 := 4.7*10^(-9)*Unit('F');

# wo is in hertz

wo := 1/sqrt(R1*R2*C1*C2);

# Q is unitless

Q := wo*R1*R2*C2/(R1+R2)

 

with(DynamicSystems);

sys := TransferFunction(wo^2/(s^2+wo*s/Q+wo^2));

 

This is the error message I got:

Error, (in Units:-Standard:-+) the units `1` and `Hz` have incompatible dimensions

 

I think the problem is that the BodePlot function doesn't expect 'wo' to have units.  

So I tried to work around the issue by using the loglogplot but it doesn't seem to like 

complex function even when I used abs to find the magnitude (with or without units).

 

 Any workaround is appreciated.

I'm trying to resolve a differential equation system and plot it. But when I use the "odeplot" command, just appear the words in blue and there's no graphic. Does anyone know whats happening?

 

This is a typical problem of what I find when learning DynamicSystems. Basically, I create number of systems by changing one paramter (the damping ratio in this case) and want to plot the unit step of all of them on the same plot to compare the effect of the damping ratio.

I setup the TransferFunction, used Simulate to obtain the response of each to the same input. The problem comes when I want to plot the respones.  I have to use plot[odeplot] it seems. But this only like to take one response at a time.

I can't use plot() since I do not have the actual function of the response in time. Unless I try to extract the differential equation from the sytem object, solve that and get a solution then use plot(). But if I do all of this, what do I need DynamicSystems in first place? 

I will show what I tried. I am sure there is some way to do this in Maple I just do not know yet the correct function or setup.

restart;
alias(DS=DynamicSystems);
H:=(w,zeta)->w^2/(s^2+2*zeta*w*s+w^2);
sys:= (w,zeta)->DS:-TransferFunction(H(w,zeta)):
sol:=seq(DS:-Simulate(sys(1,zeta),Heaviside(t)),zeta=0.1..1.2,.2):

Now I want to plot all the solutions in sol. I wanted to use plot(...) only to be able to obtain the automatic coloring of each solution.

If I try to use plots[odeplot], it works, but only on one at a time:

plots[odeplot](sol[1],t=0..10);

If I try this, it fails:

plots[odeplot]([sol],t=0..10);

I can get each plot separatly and then use display() but then lose the automatic coloring of the lines:

plots:-display(seq(plots[odeplot](sol[i],t=0..10),i=1..nops([sol])));

I am looking for the above plot, but have the lines each colors differently. I also need to figure how to add legend later. But one step at a time. I can't hard code the color in the plots[odeplot] call itself, since I do not know what color to give each line. plot([....],t=0..) allready does this automatically. But I can't use it!

Just to give an idea of the kind of plot I am trying to obtain, here it is in Mathematica:

sys = TransferFunctionModel[w^2/(s^2 + 2 z*w*s + w^2), s];
zValues = Range[.2, 1.2, .2];
fun = OutputResponse[sys /. {w -> 1, z -> #}, UnitStep[t], {t, 0, 12}] & /@ zValues;
Plot[Evaluate@Flatten@Table[fun[[i]], {i, 1, Length[fun]}], {t, 0, 12}, Frame -> True, PlotRange -> {{0, 12}, {-.1, 1.7}}]

 

 

 

Pleaz i nees help i have probleme withe singularity

restart; with(plots)

Paramétres

 

NULL

``

mb := 5;

5

 

2

 

(1/3)*a*b^3

 

0.4906250000e-1*d

 

.2

 

.4

 

1.2

 

.43

 

9.81

 

1

 

5

 

.5

 

1

(1.1)

``

``

Equation suivant x :

 

``

eq1 := (mp+mb)*(diff(x(t), `$`(t, 2)))+mp*(d+l)*(diff(theta(t), `$`(t, 2)))+mp*l*(diff(alpha(t), `$`(t, 2)))+mp*(d*(diff(theta(t), t))^2*theta(t)+l*(diff(theta(t), t)+diff(alpha(t), t))^2*(alpha(t)+theta(t)))+1000*Am*g*sin(omega*t-k*x(t))*(1+theta(t))*(sinh(k*(h+z(t)-(1/2)*a*theta(t)+(1/2)*b))-sinh(k*(h+z(t)+(1/2)*a*theta(t)+(1/2)*b)))/cosh(k*h) = 0;

7*(diff(diff(x(t), t), t))+1.2*(diff(diff(theta(t), t), t))+.4*(diff(diff(alpha(t), t), t))+.8*(diff(theta(t), t))^2*theta(t)+.4*(diff(theta(t), t)+diff(alpha(t), t))^2*(alpha(t)+theta(t))+11772.000*sin(.43*t-x(t))*(1+theta(t))*(-sinh(-11/2-z(t)+.2500000000*theta(t))-sinh(11/2+z(t)+.2500000000*theta(t)))/cosh(5) = 0

(2.1)

``

Equation suivant z :

 

``

eq2 := (mp+mb)*(diff(z(t), `$`(t, 2)))-mp*(l*(alpha(t)+theta(t))+d*theta(t))*(diff(theta(t), `$`(t, 2)))-mp*l*(alpha(t)+theta(t))*(diff(alpha(t), `$`(t, 2)))+mp*(d*(diff(theta(t), t))^2+l*(diff(theta(t), t)+diff(alpha(t), t))^2)-g*(mp+mb)+1000*g*a*z(t)+1000*g*a*b*(1/2)+1000*Am*g*sin(omega*t-k*x(t))*(1-theta(t))*(sinh(k*(h+z(t)-(1/2)*a*theta(t)+(1/2)*b))-sin(k*(h+z(t)+(1/2)*a*theta(t)+(1/2)*b)))/cosh(k*h) = 0;

7*(diff(diff(z(t), t), t))-2*(.2*alpha(t)+.6*theta(t))*(diff(diff(theta(t), t), t))-.4*(alpha(t)+theta(t))*(diff(diff(alpha(t), t), t))+.8*(diff(theta(t), t))^2+.4*(diff(theta(t), t)+diff(alpha(t), t))^2+2383.830+4905.000*z(t)+11772.000*sin(.43*t-x(t))*(1-theta(t))*(-sinh(-11/2-z(t)+.2500000000*theta(t))-sin(11/2+z(t)+.2500000000*theta(t)))/cosh(5) = 0

(3.1)

``

Equation suivant y :

 

``

eq3 := mp*(d+l)*(diff(x(t), `$`(t, 2)))-mp*(l*(alpha(t)+theta(t))+d*theta(t))*(diff(z(t), `$`(t, 2)))+(Ip+Ib+mp*(d^2+l^2)+2*mp*d*l)*(diff(theta(t), `$`(t, 2)))+(Ip+mp*l^2+mp*d*l*cos(alpha(t)))*(diff(alpha(t), `$`(t, 2)))-mp*alpha(t)*(l*d*(diff(theta(t), t))^2-l*d*(diff(theta(t), t)+diff(alpha(t), t))^2)+mp*g*l*(alpha(t)+theta(t))+mp*g*d*theta(t)+1000*g*a*theta(t)*z(t)^2+1000*g*a*b*theta(t)*z(t)+1000*g*a(theta(t))^9*(1/12)+(1000*g*a*b^2*(1/4))*theta(t)-1000*Am*g*sin(omega*t-k*x(t))*((z(t)-(1/2)*a*theta(t)+(1/2)*b)*sinh(k*(h+z(t)-(1/2)*a*theta(t)+(1/2)*b))/k-cosh(k*(h+z(t)-(1/2)*a*theta(t)+(1/2)*b))/k^2)/cosh(k*h)+1000*Am*g*sin(omega*t-k*x(t))*((z(t)+(1/2)*a*theta(t)+(1/2)*b)*sinh(k*(h+z(t)+(1/2)*a*theta(t)+(1/2)*b))/k-cosh(k*(h+z(t)+(1/2)*a*theta(t)+(1/2)*b))/k^2)/cosh(k*h)-(1000*g*z(t)*(1/2)+1000*g*b*(1/4))*(2*a*x(t)+a*b*theta(t))+1000*g*a*theta(t)*z(t)^2+1000*g*a*b*theta(t)^2*z(t)+(1000*g*a^3*(1/12))*theta(t)+(1000*g*a*b^2*(1/4))*theta(t)^3+(k*theta(t)*(x(t)-(1/2)*a+(1/2)*b*theta(t))*sinh(k*(h+z(t)+(1/2)*b-theta(t)*(x(t)-(1/2)*a+(1/2)*b*theta(t))))-k*theta(t)*(x(t)+(1/2)*a+(1/2)*b*theta(t))*sinh(k*(h+z(t)+(1/2)*b-theta(t)*(x(t)+(1/2)*a+(1/2)*b*theta(t))))-cosh(k*(h+z(t)+(1/2)*b-theta(t)*(x(t)+(1/2)*a+(1/2)*b*theta(t))))+cosh(k*(h+z(t)+(1/2)*b-theta(t)*(x(t)-(1/2)*a+(1/2)*b*theta(t)))))/k^2 = 0;

1.2*(diff(diff(x(t), t), t))-2*(.2*alpha(t)+.6*theta(t))*(diff(diff(z(t), t), t))+.9062916667*(diff(diff(theta(t), t), t))+(0.9962500000e-1+.16*cos(alpha(t)))*(diff(diff(alpha(t), t), t))-2*alpha(t)*(0.8e-1*(diff(theta(t), t))^2-0.8e-1*(diff(theta(t), t)+diff(alpha(t), t))^2)+3.924*alpha(t)+1340.209500*theta(t)+9810.000*theta(t)*z(t)^2+4905.000*theta(t)*z(t)+1.596679687-11772.000*sin(.43*t-x(t))*(-(z(t)-.2500000000*theta(t)+1/2)*sinh(-11/2-z(t)+.2500000000*theta(t))-cosh(-11/2-z(t)+.2500000000*theta(t)))/cosh(5)+11772.000*sin(.43*t-x(t))*((z(t)+.2500000000*theta(t)+1/2)*sinh(11/2+z(t)+.2500000000*theta(t))-cosh(11/2+z(t)+.2500000000*theta(t)))/cosh(5)-(4905.00*z(t)+2452.50)*(1.0*x(t)+.5*theta(t))+4905.000*theta(t)^2*z(t)+1226.250*theta(t)^3-theta(t)*(x(t)-.2500000000+(1/2)*theta(t))*sinh(-11/2-z(t)+theta(t)*(x(t)-.2500000000+(1/2)*theta(t)))+theta(t)*(x(t)+.2500000000+(1/2)*theta(t))*sinh(-11/2-z(t)+theta(t)*(x(t)+.2500000000+(1/2)*theta(t)))-cosh(-11/2-z(t)+theta(t)*(x(t)+.2500000000+(1/2)*theta(t)))+cosh(-11/2-z(t)+theta(t)*(x(t)-.2500000000+(1/2)*theta(t))) = 0

(4.1)

NULL

``

Equation suivant y

 

``

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

.4*(diff(diff(x(t), t), t))-.4*(alpha(t)+theta(t))*(diff(diff(z(t), t), t))+.2596250000*(diff(diff(theta(t), t), t))+0.9962500000e-1*(diff(diff(alpha(t), t), t))-3.924*alpha(t)-3.924*theta(t)-.16*(diff(theta(t), t))^2*alpha(t) = 0

(5.1)

``

Résolution :

 

NULL

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

(6.1)

if theta(t) <> 0 then
 solution:=dsolve([eq1,eq2,eq3,eq4,CI],numeric,maxfun=0):
 odeplot(solution, [[t, x(t)]], t = 0 .. 100, thickness = 2);
 odeplot(solution, [[t, z(t)]], t = 0 .. 100, thickness = 2);
 odeplot(solution, [[t, theta(t)]], t = 0 .. 100, thickness = 2);
 odeplot(solution, [[t, alpha(t)]], t = 0 .. 100, thickness = 2);
 #odeplot(solution,[[t,x(t)],[t,alpha(t)],[t,z(t)],[t,theta(t)]], t=0..100, thickness=2);
 end ;

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) = 0.14822202628077855e-4, (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) = 0, (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] := -(-14.947516474811375000+9.3616250000*cosh(-11/2-Y[7]+Y[3]*(Y[5]+.2500000000+(1/2)*Y[3]))-9.3616250000*cosh(-11/2-Y[7]+Y[3]*(Y[5]-.2500000000+(1/2)*Y[3]))-12681.242976943909200*Y[3]-171.4392330064092*Y[1]-11479.6926562500000*Y[3]^3+9.3616250000*Y[3]*(Y[5]-.2500000000+(1/2)*Y[3])*sinh(-11/2-Y[7]+Y[3]*(Y[5]-.2500000000+(1/2)*Y[3]))-9.3616250000*Y[3]*(Y[5]+.2500000000+(1/2)*Y[3])*sinh(-11/2-Y[7]+Y[3]*(Y[5]+.2500000000+(1/2)*Y[3]))+7*(-.4*Y[1]-.4*Y[3])*(-.4*Y[1]-1.2*Y[3])*(-2*Y[1]*(0.8e-1*Y[4]^2-0.8e-1*(Y[4]+Y[2])^2)+3.924*Y[1]+1340.209500*Y[3]+9810.000*Y[3]*Y[7]^2+4905.000*Y[3]*Y[7]+1.596679687-158.631022309198*sin(.43*X-Y[5])*(-(Y[7]-.2500000000*Y[3]+1/2)*sinh(-11/2-Y[7]+.2500000000*Y[3])-cosh(-11/2-Y[7]+.2500000000*Y[3]))+158.631022309198*sin(.43*X-Y[5])*((Y[7]+.2500000000*Y[3]+1/2)*sinh(11/2+Y[7]+.2500000000*Y[3])-cosh(11/2+Y[7]+.2500000000*Y[3]))-(4905.00*Y[7]+2452.50)*(1.0*Y[5]+.5*Y[3])+4905.000*Y[3]^2*Y[7]+1226.250*Y[3]^3-Y[3]*(Y[5]-.2500000000+(1/2)*Y[3])*sinh(-11/2-Y[7]+Y[3]*(Y[5]-.2500000000+(1/2)*Y[3]))+Y[3]*(Y[5]+.2500000000+(1/2)*Y[3])*sinh(-11/2-Y[7]+Y[3]*(Y[5]+.2500000000+(1/2)*Y[3]))-cosh(-11/2-Y[7]+Y[3]*(Y[5]+.2500000000+(1/2)*Y[3]))+cosh(-11/2-Y[7]+Y[3]*(Y[5]-.2500000000+(1/2)*Y[3])))-56.5942610739837*sin(.43*X-Y[5])*(1+Y[3])*(-sinh(-11/2-Y[7]+.2500000000*Y[3])-sinh(11/2+Y[7]+.2500000000*Y[3]))-1.2*(.8*Y[4]^2*Y[3]+.4*(Y[4]+Y[2])^2*(Y[1]+Y[3])+158.631022309198*sin(.43*X-Y[5])*(1+Y[3])*(-sinh(-11/2-Y[7]+.2500000000*Y[3])-sinh(11/2+Y[7]+.2500000000*Y[3])))*(-.4*Y[1]-.4*Y[3])*(-.4*Y[1]-1.2*Y[3])-4.9040416669*(-.4*Y[1]-.4*Y[3])*(.8*Y[4]^2+.4*(Y[4]+Y[2])^2+2383.830+4905.000*Y[7]+158.631022309198*sin(.43*X-Y[5])*(1-Y[3])*(-sinh(-11/2-Y[7]+.2500000000*Y[3])-sin(11/2+Y[7]+.2500000000*Y[3])))+1.3373750000*(.8*Y[4]^2+.4*(Y[4]+Y[2])^2+2383.830+4905.000*Y[7]+158.631022309198*sin(.43*X-Y[5])*(1-Y[3])*(-sinh(-11/2-Y[7]+.2500000000*Y[3])-sin(11/2+Y[7]+.2500000000*Y[3])))*(-.4*Y[1]-1.2*Y[3])-.285413333408*Y[4]^2*Y[3]-.142706666704*(Y[4]+Y[2])^2*(Y[1]+Y[3])+.4*(.8*Y[4]^2*Y[3]+.4*(Y[4]+Y[2])^2*(Y[1]+Y[3])+158.631022309198*sin(.43*X-Y[5])*(1+Y[3])*(-sinh(-11/2-Y[7]+.2500000000*Y[3])-sinh(11/2+Y[7]+.2500000000*Y[3])))*(-.4*Y[1]-1.2*Y[3])^2-1485.04414422534*sin(.43*X-Y[5])*((Y[7]+.2500000000*Y[3]+1/2)*sinh(11/2+Y[7]+.2500000000*Y[3])-cosh(11/2+Y[7]+.2500000000*Y[3]))+1485.04414422534*sin(.43*X-Y[5])*(-(Y[7]-.2500000000*Y[3]+1/2)*sinh(-11/2-Y[7]+.2500000000*Y[3])-cosh(-11/2-Y[7]+.2500000000*Y[3]))-5.492526666928*Y[4]^2*Y[1]-7*(-3.924*Y[1]-3.924*Y[3]-.16*Y[4]^2*Y[1])*(-.4*Y[1]-1.2*Y[3])^2+18.7232500000*Y[1]*(0.8e-1*Y[4]^2-0.8e-1*(Y[4]+Y[2])^2)-91837.5412500000000*Y[3]*Y[7]^2-45918.7706250000000*Y[3]*Y[7]+9.3616250000*(4905.00*Y[7]+2452.50)*(1.0*Y[5]+.5*Y[3])-45918.7706250000000*Y[3]^2*Y[7])/(2.3445975001253875000-.53737500000*(-.4*Y[1]-1.2*Y[3])^2+.8573750000*(-.4*Y[1]-.4*Y[3])*(-.4*Y[1]-1.2*Y[3])-1.497860000000*cos(Y[1])-4.9040416669*(-.4*Y[1]-.4*Y[3])^2+7*(-.4*Y[1]-.4*Y[3])*(-.4*Y[1]-1.2*Y[3])*(0.9962500000e-1+.16*cos(Y[1]))); YP[4] := (-6.0061102276113750000+3.76162500000*cosh(-11/2-Y[7]+Y[3]*(Y[5]+.2500000000+(1/2)*Y[3]))-3.76162500000*cosh(-11/2-Y[7]+Y[3]*(Y[5]-.2500000000+(1/2)*Y[3]))-5028.1809204375000000*Y[3]-1.57597650000000*Y[1]-4612.69265625000000*Y[3]^3+3.76162500000*Y[3]*(Y[5]-.2500000000+(1/2)*Y[3])*sinh(-11/2-Y[7]+Y[3]*(Y[5]-.2500000000+(1/2)*Y[3]))-3.76162500000*Y[3]*(Y[5]+.2500000000+(1/2)*Y[3])*sinh(-11/2-Y[7]+Y[3]*(Y[5]+.2500000000+(1/2)*Y[3]))-7*(-.4*Y[1]-.4*Y[3])*(.8*Y[4]^2+.4*(Y[4]+Y[2])^2+2383.830+4905.000*Y[7]+158.631022309198*sin(.43*X-Y[5])*(1-Y[3])*(-sinh(-11/2-Y[7]+.2500000000*Y[3])-sin(11/2+Y[7]+.2500000000*Y[3])))*(0.9962500000e-1+.16*cos(Y[1]))-7*(-3.924*Y[1]-3.924*Y[3]-.16*Y[4]^2*Y[1])*(-.4*Y[1]-.4*Y[3])*(-.4*Y[1]-1.2*Y[3])+132.750371019452*sin(.43*X-Y[5])*(1+Y[3])*(-sinh(-11/2-Y[7]+.2500000000*Y[3])-sinh(11/2+Y[7]+.2500000000*Y[3]))+.4*(.8*Y[4]^2*Y[3]+.4*(Y[4]+Y[2])^2*(Y[1]+Y[3])+158.631022309198*sin(.43*X-Y[5])*(1+Y[3])*(-sinh(-11/2-Y[7]+.2500000000*Y[3])-sinh(11/2+Y[7]+.2500000000*Y[3])))*(-.4*Y[1]-.4*Y[3])*(-.4*Y[1]-1.2*Y[3])+.48*(-.4*Y[1]-.4*Y[3])*(.8*Y[4]^2+.4*(Y[4]+Y[2])^2+2383.830+4905.000*Y[7]+158.631022309198*sin(.43*X-Y[5])*(1-Y[3])*(-sinh(-11/2-Y[7]+.2500000000*Y[3])-sin(11/2+Y[7]+.2500000000*Y[3])))+7*(-.4*Y[1]-.4*Y[3])^2*(-2*Y[1]*(0.8e-1*Y[4]^2-0.8e-1*(Y[4]+Y[2])^2)+3.924*Y[1]+1340.209500*Y[3]+9810.000*Y[3]*Y[7]^2+4905.000*Y[3]*Y[7]+1.596679687-158.631022309198*sin(.43*X-Y[5])*(-(Y[7]-.2500000000*Y[3]+1/2)*sinh(-11/2-Y[7]+.2500000000*Y[3])-cosh(-11/2-Y[7]+.2500000000*Y[3]))+158.631022309198*sin(.43*X-Y[5])*((Y[7]+.2500000000*Y[3]+1/2)*sinh(11/2+Y[7]+.2500000000*Y[3])-cosh(11/2+Y[7]+.2500000000*Y[3]))-(4905.00*Y[7]+2452.50)*(1.0*Y[5]+.5*Y[3])+4905.000*Y[3]^2*Y[7]+1226.250*Y[3]^3-Y[3]*(Y[5]-.2500000000+(1/2)*Y[3])*sinh(-11/2-Y[7]+Y[3]*(Y[5]-.2500000000+(1/2)*Y[3]))+Y[3]*(Y[5]+.2500000000+(1/2)*Y[3])*sinh(-11/2-Y[7]+Y[3]*(Y[5]+.2500000000+(1/2)*Y[3]))-cosh(-11/2-Y[7]+Y[3]*(Y[5]+.2500000000+(1/2)*Y[3]))+cosh(-11/2-Y[7]+Y[3]*(Y[5]-.2500000000+(1/2)*Y[3])))-2.8*(.8*Y[4]^2*Y[3]+.4*(Y[4]+Y[2])^2*(Y[1]+Y[3])+158.631022309198*sin(.43*X-Y[5])*(1+Y[3])*(-sinh(-11/2-Y[7]+.2500000000*Y[3])-sinh(11/2+Y[7]+.2500000000*Y[3])))*(0.9962500000e-1+.16*cos(Y[1]))+49*(-3.924*Y[1]-3.924*Y[3]-.16*Y[4]^2*Y[1])*(0.9962500000e-1+.16*cos(Y[1]))-1.2*(.8*Y[4]^2*Y[3]+.4*(Y[4]+Y[2])^2*(Y[1]+Y[3])+158.631022309198*sin(.43*X-Y[5])*(1+Y[3])*(-sinh(-11/2-Y[7]+.2500000000*Y[3])-sinh(11/2+Y[7]+.2500000000*Y[3])))*(-.4*Y[1]-.4*Y[3])^2+.53737500000*(.8*Y[4]^2+.4*(Y[4]+Y[2])^2+2383.830+4905.000*Y[7]+158.631022309198*sin(.43*X-Y[5])*(1-Y[3])*(-sinh(-11/2-Y[7]+.2500000000*Y[3])-sin(11/2+Y[7]+.2500000000*Y[3])))*(-.4*Y[1]-1.2*Y[3])+.6694800000000*Y[4]^2*Y[3]+.3347400000000*(Y[4]+Y[2])^2*(Y[1]+Y[3])-596.710419293836*sin(.43*X-Y[5])*((Y[7]+.2500000000*Y[3]+1/2)*sinh(11/2+Y[7]+.2500000000*Y[3])-cosh(11/2+Y[7]+.2500000000*Y[3]))+596.710419293836*sin(.43*X-Y[5])*(-(Y[7]-.2500000000*Y[3]+1/2)*sinh(-11/2-Y[7]+.2500000000*Y[3])-cosh(-11/2-Y[7]+.2500000000*Y[3]))+.5376*Y[4]^2*Y[1]+7.52325000000*Y[1]*(0.8e-1*Y[4]^2-0.8e-1*(Y[4]+Y[2])^2)-36901.54125000000000*Y[3]*Y[7]^2-18450.77062500000000*Y[3]*Y[7]+3.76162500000*(4905.00*Y[7]+2452.50)*(1.0*Y[5]+.5*Y[3])-18450.77062500000000*Y[3]^2*Y[7])/(2.3445975001253875000-.53737500000*(-.4*Y[1]-1.2*Y[3])^2+.8573750000*(-.4*Y[1]-.4*Y[3])*(-.4*Y[1]-1.2*Y[3])-1.497860000000*cos(Y[1])-4.9040416669*(-.4*Y[1]-.4*Y[3])^2+7*(-.4*Y[1]-.4*Y[3])*(-.4*Y[1]-1.2*Y[3])*(0.9962500000e-1+.16*cos(Y[1]))); YP[6] := -(-.1754750976013000000+.109900000000*cosh(-11/2-Y[7]+Y[3]*(Y[5]+.2500000000+(1/2)*Y[3]))-.109900000000*cosh(-11/2-Y[7]+Y[3]*(Y[5]-.2500000000+(1/2)*Y[3]))-137.33141624963376000*Y[3]+9.526360200366240*Y[1]-134.764875000000000*Y[3]^3+.109900000000*Y[3]*(Y[5]-.2500000000+(1/2)*Y[3])*sinh(-11/2-Y[7]+Y[3]*(Y[5]-.2500000000+(1/2)*Y[3]))-.109900000000*Y[3]*(Y[5]+.2500000000+(1/2)*Y[3])*sinh(-11/2-Y[7]+Y[3]*(Y[5]+.2500000000+(1/2)*Y[3]))-.4*(-.4*Y[1]-.4*Y[3])*(-.4*Y[1]-1.2*Y[3])*(-2*Y[1]*(0.8e-1*Y[4]^2-0.8e-1*(Y[4]+Y[2])^2)+3.924*Y[1]+1340.209500*Y[3]+9810.000*Y[3]*Y[7]^2+4905.000*Y[3]*Y[7]+1.596679687-158.631022309198*sin(.43*X-Y[5])*(-(Y[7]-.2500000000*Y[3]+1/2)*sinh(-11/2-Y[7]+.2500000000*Y[3])-cosh(-11/2-Y[7]+.2500000000*Y[3]))+158.631022309198*sin(.43*X-Y[5])*((Y[7]+.2500000000*Y[3]+1/2)*sinh(11/2+Y[7]+.2500000000*Y[3])-cosh(11/2+Y[7]+.2500000000*Y[3]))-(4905.00*Y[7]+2452.50)*(1.0*Y[5]+.5*Y[3])+4905.000*Y[3]^2*Y[7]+1226.250*Y[3]^3-Y[3]*(Y[5]-.2500000000+(1/2)*Y[3])*sinh(-11/2-Y[7]+Y[3]*(Y[5]-.2500000000+(1/2)*Y[3]))+Y[3]*(Y[5]+.2500000000+(1/2)*Y[3])*sinh(-11/2-Y[7]+Y[3]*(Y[5]+.2500000000+(1/2)*Y[3]))-cosh(-11/2-Y[7]+Y[3]*(Y[5]+.2500000000+(1/2)*Y[3]))+cosh(-11/2-Y[7]+Y[3]*(Y[5]-.2500000000+(1/2)*Y[3])))-1.2*(-.4*Y[1]-.4*Y[3])*(.8*Y[4]^2+.4*(Y[4]+Y[2])^2+2383.830+4905.000*Y[7]+158.631022309198*sin(.43*X-Y[5])*(1-Y[3])*(-sinh(-11/2-Y[7]+.2500000000*Y[3])-sin(11/2+Y[7]+.2500000000*Y[3])))*(0.9962500000e-1+.16*cos(Y[1]))-1.2*(-3.924*Y[1]-3.924*Y[3]-.16*Y[4]^2*Y[1])*(-.4*Y[1]-.4*Y[3])*(-.4*Y[1]-1.2*Y[3])+100.258795838552*sin(.43*X-Y[5])*(1+Y[3])*(-sinh(-11/2-Y[7]+.2500000000*Y[3])-sinh(11/2+Y[7]+.2500000000*Y[3]))+.2596250000*(.8*Y[4]^2*Y[3]+.4*(Y[4]+Y[2])^2*(Y[1]+Y[3])+158.631022309198*sin(.43*X-Y[5])*(1+Y[3])*(-sinh(-11/2-Y[7]+.2500000000*Y[3])-sinh(11/2+Y[7]+.2500000000*Y[3])))*(-.4*Y[1]-.4*Y[3])*(-.4*Y[1]-1.2*Y[3])+(.8*Y[4]^2*Y[3]+.4*(Y[4]+Y[2])^2*(Y[1]+Y[3])+158.631022309198*sin(.43*X-Y[5])*(1+Y[3])*(-sinh(-11/2-Y[7]+.2500000000*Y[3])-sinh(11/2+Y[7]+.2500000000*Y[3])))*(-.4*Y[1]-.4*Y[3])*(-.4*Y[1]-1.2*Y[3])*(0.9962500000e-1+.16*cos(Y[1]))+.36251666668*(-.4*Y[1]-.4*Y[3])*(.8*Y[4]^2+.4*(Y[4]+Y[2])^2+2383.830+4905.000*Y[7]+158.631022309198*sin(.43*X-Y[5])*(1-Y[3])*(-sinh(-11/2-Y[7]+.2500000000*Y[3])-sin(11/2+Y[7]+.2500000000*Y[3])))+1.2*(-.4*Y[1]-.4*Y[3])^2*(-2*Y[1]*(0.8e-1*Y[4]^2-0.8e-1*(Y[4]+Y[2])^2)+3.924*Y[1]+1340.209500*Y[3]+9810.000*Y[3]*Y[7]^2+4905.000*Y[3]*Y[7]+1.596679687-158.631022309198*sin(.43*X-Y[5])*(-(Y[7]-.2500000000*Y[3]+1/2)*sinh(-11/2-Y[7]+.2500000000*Y[3])-cosh(-11/2-Y[7]+.2500000000*Y[3]))+158.631022309198*sin(.43*X-Y[5])*((Y[7]+.2500000000*Y[3]+1/2)*sinh(11/2+Y[7]+.2500000000*Y[3])-cosh(11/2+Y[7]+.2500000000*Y[3]))-(4905.00*Y[7]+2452.50)*(1.0*Y[5]+.5*Y[3])+4905.000*Y[3]^2*Y[7]+1226.250*Y[3]^3-Y[3]*(Y[5]-.2500000000+(1/2)*Y[3])*sinh(-11/2-Y[7]+Y[3]*(Y[5]-.2500000000+(1/2)*Y[3]))+Y[3]*(Y[5]+.2500000000+(1/2)*Y[3])*sinh(-11/2-Y[7]+Y[3]*(Y[5]+.2500000000+(1/2)*Y[3]))-cosh(-11/2-Y[7]+Y[3]*(Y[5]+.2500000000+(1/2)*Y[3]))+cosh(-11/2-Y[7]+Y[3]*(Y[5]-.2500000000+(1/2)*Y[3])))-1.8173750000*(.8*Y[4]^2*Y[3]+.4*(Y[4]+Y[2])^2*(Y[1]+Y[3])+158.631022309198*sin(.43*X-Y[5])*(1+Y[3])*(-sinh(-11/2-Y[7]+.2500000000*Y[3])-sinh(11/2+Y[7]+.2500000000*Y[3])))*(0.9962500000e-1+.16*cos(Y[1]))+8.4*(-3.924*Y[1]-3.924*Y[3]-.16*Y[4]^2*Y[1])*(0.9962500000e-1+.16*cos(Y[1]))-.9062916667*(.8*Y[4]^2*Y[3]+.4*(Y[4]+Y[2])^2*(Y[1]+Y[3])+158.631022309198*sin(.43*X-Y[5])*(1+Y[3])*(-sinh(-11/2-Y[7]+.2500000000*Y[3])-sinh(11/2+Y[7]+.2500000000*Y[3])))*(-.4*Y[1]-.4*Y[3])^2+0.15700000000e-1*(.8*Y[4]^2+.4*(Y[4]+Y[2])^2+2383.830+4905.000*Y[7]+158.631022309198*sin(.43*X-Y[5])*(1-Y[3])*(-sinh(-11/2-Y[7]+.2500000000*Y[3])-sin(11/2+Y[7]+.2500000000*Y[3])))*(-.4*Y[1]-1.2*Y[3])+.50562012085193000000*Y[4]^2*Y[3]+.25281006042596500000*(Y[4]+Y[2])^2*(Y[1]+Y[3])-0.9962500000e-1*(.8*Y[4]^2*Y[3]+.4*(Y[4]+Y[2])^2*(Y[1]+Y[3])+158.631022309198*sin(.43*X-Y[5])*(1+Y[3])*(-sinh(-11/2-Y[7]+.2500000000*Y[3])-sinh(11/2+Y[7]+.2500000000*Y[3])))*(-.4*Y[1]-1.2*Y[3])^2-17.4335493517808*sin(.43*X-Y[5])*((Y[7]+.2500000000*Y[3]+1/2)*sinh(11/2+Y[7]+.2500000000*Y[3])-cosh(11/2+Y[7]+.2500000000*Y[3]))+17.4335493517808*sin(.43*X-Y[5])*(-(Y[7]-.2500000000*Y[3]+1/2)*sinh(-11/2-Y[7]+.2500000000*Y[3])-cosh(-11/2-Y[7]+.2500000000*Y[3]))+.4060186666816*Y[4]^2*Y[1]+.4*(-3.924*Y[1]-3.924*Y[3]-.16*Y[4]^2*Y[1])*(-.4*Y[1]-1.2*Y[3])^2+.219800000000*Y[1]*(0.8e-1*Y[4]^2-0.8e-1*(Y[4]+Y[2])^2)-1078.119000000000000*Y[3]*Y[7]^2-539.059500000000000*Y[3]*Y[7]+.109900000000*(4905.00*Y[7]+2452.50)*(1.0*Y[5]+.5*Y[3])-539.059500000000000*Y[3]^2*Y[7])/(2.3445975001253875000-.53737500000*(-.4*Y[1]-1.2*Y[3])^2+.8573750000*(-.4*Y[1]-.4*Y[3])*(-.4*Y[1]-1.2*Y[3])-1.497860000000*cos(Y[1])-4.9040416669*(-.4*Y[1]-.4*Y[3])^2+7*(-.4*Y[1]-.4*Y[3])*(-.4*Y[1]-1.2*Y[3])*(0.9962500000e-1+.16*cos(Y[1]))); YP[8] := -(-.53737500000*(-.4*Y[1]-1.2*Y[3])*(-2*Y[1]*(0.8e-1*Y[4]^2-0.8e-1*(Y[4]+Y[2])^2)+3.924*Y[1]+1340.209500*Y[3]+9810.000*Y[3]*Y[7]^2+4905.000*Y[3]*Y[7]+1.596679687-158.631022309198*sin(.43*X-Y[5])*(-(Y[7]-.2500000000*Y[3]+1/2)*sinh(-11/2-Y[7]+.2500000000*Y[3])-cosh(-11/2-Y[7]+.2500000000*Y[3]))+158.631022309198*sin(.43*X-Y[5])*((Y[7]+.2500000000*Y[3]+1/2)*sinh(11/2+Y[7]+.2500000000*Y[3])-cosh(11/2+Y[7]+.2500000000*Y[3]))-(4905.00*Y[7]+2452.50)*(1.0*Y[5]+.5*Y[3])+4905.000*Y[3]^2*Y[7]+1226.250*Y[3]^3-Y[3]*(Y[5]-.2500000000+(1/2)*Y[3])*sinh(-11/2-Y[7]+Y[3]*(Y[5]-.2500000000+(1/2)*Y[3]))+Y[3]*(Y[5]+.2500000000+(1/2)*Y[3])*sinh(-11/2-Y[7]+Y[3]*(Y[5]+.2500000000+(1/2)*Y[3]))-cosh(-11/2-Y[7]+Y[3]*(Y[5]+.2500000000+(1/2)*Y[3]))+cosh(-11/2-Y[7]+Y[3]*(Y[5]-.2500000000+(1/2)*Y[3])))-.48*(-3.924*Y[1]-3.924*Y[3]-.16*Y[4]^2*Y[1])*(-.4*Y[1]-1.2*Y[3])+1.3373750000*(-.4*Y[1]-.4*Y[3])*(-2*Y[1]*(0.8e-1*Y[4]^2-0.8e-1*(Y[4]+Y[2])^2)+3.924*Y[1]+1340.209500*Y[3]+9810.000*Y[3]*Y[7]^2+4905.000*Y[3]*Y[7]+1.596679687-158.631022309198*sin(.43*X-Y[5])*(-(Y[7]-.2500000000*Y[3]+1/2)*sinh(-11/2-Y[7]+.2500000000*Y[3])-cosh(-11/2-Y[7]+.2500000000*Y[3]))+158.631022309198*sin(.43*X-Y[5])*((Y[7]+.2500000000*Y[3]+1/2)*sinh(11/2+Y[7]+.2500000000*Y[3])-cosh(11/2+Y[7]+.2500000000*Y[3]))-(4905.00*Y[7]+2452.50)*(1.0*Y[5]+.5*Y[3])+4905.000*Y[3]^2*Y[7]+1226.250*Y[3]^3-Y[3]*(Y[5]-.2500000000+(1/2)*Y[3])*sinh(-11/2-Y[7]+Y[3]*(Y[5]-.2500000000+(1/2)*Y[3]))+Y[3]*(Y[5]+.2500000000+(1/2)*Y[3])*sinh(-11/2-Y[7]+Y[3]*(Y[5]+.2500000000+(1/2)*Y[3]))-cosh(-11/2-Y[7]+Y[3]*(Y[5]+.2500000000+(1/2)*Y[3]))+cosh(-11/2-Y[7]+Y[3]*(Y[5]-.2500000000+(1/2)*Y[3])))-4.9040416669*(-3.924*Y[1]-3.924*Y[3]-.16*Y[4]^2*Y[1])*(-.4*Y[1]-.4*Y[3])+.119550000000*(.8*Y[4]^2*Y[3]+.4*(Y[4]+Y[2])^2*(Y[1]+Y[3])+158.631022309198*sin(.43*X-Y[5])*(1+Y[3])*(-sinh(-11/2-Y[7]+.2500000000*Y[3])-sinh(11/2+Y[7]+.2500000000*Y[3])))*(-.4*Y[1]-1.2*Y[3])+7*(-3.924*Y[1]-3.924*Y[3]-.16*Y[4]^2*Y[1])*(-.4*Y[1]-1.2*Y[3])*(0.9962500000e-1+.16*cos(Y[1]))-.4*(.8*Y[4]^2*Y[3]+.4*(Y[4]+Y[2])^2*(Y[1]+Y[3])+158.631022309198*sin(.43*X-Y[5])*(1+Y[3])*(-sinh(-11/2-Y[7]+.2500000000*Y[3])-sinh(11/2+Y[7]+.2500000000*Y[3])))*(-.4*Y[1]-1.2*Y[3])*(0.9962500000e-1+.16*cos(Y[1]))+74.2676316024185*sin(.43*X-Y[5])*(1-Y[3])*(-sinh(-11/2-Y[7]+.2500000000*Y[3])-sin(11/2+Y[7]+.2500000000*Y[3]))+1116.0579164503566049-1.3373750000*(.8*Y[4]^2+.4*(Y[4]+Y[2])^2+2383.830+4905.000*Y[7]+158.631022309198*sin(.43*X-Y[5])*(1-Y[3])*(-sinh(-11/2-Y[7]+.2500000000*Y[3])-sin(11/2+Y[7]+.2500000000*Y[3])))*(0.9962500000e-1+.16*cos(Y[1]))+0.5096666668e-1*(.8*Y[4]^2*Y[3]+.4*(Y[4]+Y[2])^2*(Y[1]+Y[3])+158.631022309198*sin(.43*X-Y[5])*(1+Y[3])*(-sinh(-11/2-Y[7]+.2500000000*Y[3])-sinh(11/2+Y[7]+.2500000000*Y[3])))*(-.4*Y[1]-.4*Y[3])+2296.4154659472358125*Y[7]+.37454278751433000000*Y[4]^2+.18727139375716500000*(Y[4]+Y[2])^2)/(2.3445975001253875000-.53737500000*(-.4*Y[1]-1.2*Y[3])^2+.8573750000*(-.4*Y[1]-.4*Y[3])*(-.4*Y[1]-1.2*Y[3])-1.497860000000*cos(Y[1])-4.9040416669*(-.4*Y[1]-.4*Y[3])^2+7*(-.4*Y[1]-.4*Y[3])*(-.4*Y[1]-1.2*Y[3])*(0.9962500000e-1+.16*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) = 17.65307013401197, (3) = .0, (4) = -7.093237546136753, (5) = .0, (6) = .20723671453704962, (7) = .0, (8) = -340.5471428571427}, 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] := -(-14.947516474811375000+9.3616250000*cosh(-11/2-Y[7]+Y[3]*(Y[5]+.2500000000+(1/2)*Y[3]))-9.3616250000*cosh(-11/2-Y[7]+Y[3]*(Y[5]-.2500000000+(1/2)*Y[3]))-12681.242976943909200*Y[3]-171.4392330064092*Y[1]-11479.6926562500000*Y[3]^3+9.3616250000*Y[3]*(Y[5]-.2500000000+(1/2)*Y[3])*sinh(-11/2-Y[7]+Y[3]*(Y[5]-.2500000000+(1/2)*Y[3]))-9.3616250000*Y[3]*(Y[5]+.2500000000+(1/2)*Y[3])*sinh(-11/2-Y[7]+Y[3]*(Y[5]+.2500000000+(1/2)*Y[3]))+7*(-.4*Y[1]-.4*Y[3])*(-.4*Y[1]-1.2*Y[3])*(-2*Y[1]*(0.8e-1*Y[4]^2-0.8e-1*(Y[4]+Y[2])^2)+3.924*Y[1]+1340.209500*Y[3]+9810.000*Y[3]*Y[7]^2+4905.000*Y[3]*Y[7]+1.596679687-158.631022309198*sin(.43*X-Y[5])*(-(Y[7]-.2500000000*Y[3]+1/2)*sinh(-11/2-Y[7]+.2500000000*Y[3])-cosh(-11/2-Y[7]+.2500000000*Y[3]))+158.631022309198*sin(.43*X-Y[5])*((Y[7]+.2500000000*Y[3]+1/2)*sinh(11/2+Y[7]+.2500000000*Y[3])-cosh(11/2+Y[7]+.2500000000*Y[3]))-(4905.00*Y[7]+2452.50)*(1.0*Y[5]+.5*Y[3])+4905.000*Y[3]^2*Y[7]+1226.250*Y[3]^3-Y[3]*(Y[5]-.2500000000+(1/2)*Y[3])*sinh(-11/2-Y[7]+Y[3]*(Y[5]-.2500000000+(1/2)*Y[3]))+Y[3]*(Y[5]+.2500000000+(1/2)*Y[3])*sinh(-11/2-Y[7]+Y[3]*(Y[5]+.2500000000+(1/2)*Y[3]))-cosh(-11/2-Y[7]+Y[3]*(Y[5]+.2500000000+(1/2)*Y[3]))+cosh(-11/2-Y[7]+Y[3]*(Y[5]-.2500000000+(1/2)*Y[3])))-56.5942610739837*sin(.43*X-Y[5])*(1+Y[3])*(-sinh(-11/2-Y[7]+.2500000000*Y[3])-sinh(11/2+Y[7]+.2500000000*Y[3]))-1.2*(.8*Y[4]^2*Y[3]+.4*(Y[4]+Y[2])^2*(Y[1]+Y[3])+158.631022309198*sin(.43*X-Y[5])*(1+Y[3])*(-sinh(-11/2-Y[7]+.2500000000*Y[3])-sinh(11/2+Y[7]+.2500000000*Y[3])))*(-.4*Y[1]-.4*Y[3])*(-.4*Y[1]-1.2*Y[3])-4.9040416669*(-.4*Y[1]-.4*Y[3])*(.8*Y[4]^2+.4*(Y[4]+Y[2])^2+2383.830+4905.000*Y[7]+158.631022309198*sin(.43*X-Y[5])*(1-Y[3])*(-sinh(-11/2-Y[7]+.2500000000*Y[3])-sin(11/2+Y[7]+.2500000000*Y[3])))+1.3373750000*(.8*Y[4]^2+.4*(Y[4]+Y[2])^2+2383.830+4905.000*Y[7]+158.631022309198*sin(.43*X-Y[5])*(1-Y[3])*(-sinh(-11/2-Y[7]+.2500000000*Y[3])-sin(11/2+Y[7]+.2500000000*Y[3])))*(-.4*Y[1]-1.2*Y[3])-.285413333408*Y[4]^2*Y[3]-.142706666704*(Y[4]+Y[2])^2*(Y[1]+Y[3])+.4*(.8*Y[4]^2*Y[3]+.4*(Y[4]+Y[2])^2*(Y[1]+Y[3])+158.631022309198*sin(.43*X-Y[5])*(1+Y[3])*(-sinh(-11/2-Y[7]+.2500000000*Y[3])-sinh(11/2+Y[7]+.2500000000*Y[3])))*(-.4*Y[1]-1.2*Y[3])^2-1485.04414422534*sin(.43*X-Y[5])*((Y[7]+.2500000000*Y[3]+1/2)*sinh(11/2+Y[7]+.2500000000*Y[3])-cosh(11/2+Y[7]+.2500000000*Y[3]))+1485.04414422534*sin(.43*X-Y[5])*(-(Y[7]-.2500000000*Y[3]+1/2)*sinh(-11/2-Y[7]+.2500000000*Y[3])-cosh(-11/2-Y[7]+.2500000000*Y[3]))-5.492526666928*Y[4]^2*Y[1]-7*(-3.924*Y[1]-3.924*Y[3]-.16*Y[4]^2*Y[1])*(-.4*Y[1]-1.2*Y[3])^2+18.7232500000*Y[1]*(0.8e-1*Y[4]^2-0.8e-1*(Y[4]+Y[2])^2)-91837.5412500000000*Y[3]*Y[7]^2-45918.7706250000000*Y[3]*Y[7]+9.3616250000*(4905.00*Y[7]+2452.50)*(1.0*Y[5]+.5*Y[3])-45918.7706250000000*Y[3]^2*Y[7])/(2.3445975001253875000-.53737500000*(-.4*Y[1]-1.2*Y[3])^2+.8573750000*(-.4*Y[1]-.4*Y[3])*(-.4*Y[1]-1.2*Y[3])-1.497860000000*cos(Y[1])-4.9040416669*(-.4*Y[1]-.4*Y[3])^2+7*(-.4*Y[1]-.4*Y[3])*(-.4*Y[1]-1.2*Y[3])*(0.9962500000e-1+.16*cos(Y[1]))); YP[4] := (-6.0061102276113750000+3.76162500000*cosh(-11/2-Y[7]+Y[3]*(Y[5]+.2500000000+(1/2)*Y[3]))-3.76162500000*cosh(-11/2-Y[7]+Y[3]*(Y[5]-.2500000000+(1/2)*Y[3]))-5028.1809204375000000*Y[3]-1.57597650000000*Y[1]-4612.69265625000000*Y[3]^3+3.76162500000*Y[3]*(Y[5]-.2500000000+(1/2)*Y[3])*sinh(-11/2-Y[7]+Y[3]*(Y[5]-.2500000000+(1/2)*Y[3]))-3.76162500000*Y[3]*(Y[5]+.2500000000+(1/2)*Y[3])*sinh(-11/2-Y[7]+Y[3]*(Y[5]+.2500000000+(1/2)*Y[3]))-7*(-.4*Y[1]-.4*Y[3])*(.8*Y[4]^2+.4*(Y[4]+Y[2])^2+2383.830+4905.000*Y[7]+158.631022309198*sin(.43*X-Y[5])*(1-Y[3])*(-sinh(-11/2-Y[7]+.2500000000*Y[3])-sin(11/2+Y[7]+.2500000000*Y[3])))*(0.9962500000e-1+.16*cos(Y[1]))-7*(-3.924*Y[1]-3.924*Y[3]-.16*Y[4]^2*Y[1])*(-.4*Y[1]-.4*Y[3])*(-.4*Y[1]-1.2*Y[3])+132.750371019452*sin(.43*X-Y[5])*(1+Y[3])*(-sinh(-11/2-Y[7]+.2500000000*Y[3])-sinh(11/2+Y[7]+.2500000000*Y[3]))+.4*(.8*Y[4]^2*Y[3]+.4*(Y[4]+Y[2])^2*(Y[1]+Y[3])+158.631022309198*sin(.43*X-Y[5])*(1+Y[3])*(-sinh(-11/2-Y[7]+.2500000000*Y[3])-sinh(11/2+Y[7]+.2500000000*Y[3])))*(-.4*Y[1]-.4*Y[3])*(-.4*Y[1]-1.2*Y[3])+.48*(-.4*Y[1]-.4*Y[3])*(.8*Y[4]^2+.4*(Y[4]+Y[2])^2+2383.830+4905.000*Y[7]+158.631022309198*sin(.43*X-Y[5])*(1-Y[3])*(-sinh(-11/2-Y[7]+.2500000000*Y[3])-sin(11/2+Y[7]+.2500000000*Y[3])))+7*(-.4*Y[1]-.4*Y[3])^2*(-2*Y[1]*(0.8e-1*Y[4]^2-0.8e-1*(Y[4]+Y[2])^2)+3.924*Y[1]+1340.209500*Y[3]+9810.000*Y[3]*Y[7]^2+4905.000*Y[3]*Y[7]+1.596679687-158.631022309198*sin(.43*X-Y[5])*(-(Y[7]-.2500000000*Y[3]+1/2)*sinh(-11/2-Y[7]+.2500000000*Y[3])-cosh(-11/2-Y[7]+.2500000000*Y[3]))+158.631022309198*sin(.43*X-Y[5])*((Y[7]+.2500000000*Y[3]+1/2)*sinh(11/2+Y[7]+.2500000000*Y[3])-cosh(11/2+Y[7]+.2500000000*Y[3]))-(4905.00*Y[7]+2452.50)*(1.0*Y[5]+.5*Y[3])+4905.000*Y[3]^2*Y[7]+1226.250*Y[3]^3-Y[3]*(Y[5]-.2500000000+(1/2)*Y[3])*sinh(-11/2-Y[7]+Y[3]*(Y[5]-.2500000000+(1/2)*Y[3]))+Y[3]*(Y[5]+.2500000000+(1/2)*Y[3])*sinh(-11/2-Y[7]+Y[3]*(Y[5]+.2500000000+(1/2)*Y[3]))-cosh(-11/2-Y[7]+Y[3]*(Y[5]+.2500000000+(1/2)*Y[3]))+cosh(-11/2-Y[7]+Y[3]*(Y[5]-.2500000000+(1/2)*Y[3])))-2.8*(.8*Y[4]^2*Y[3]+.4*(Y[4]+Y[2])^2*(Y[1]+Y[3])+158.631022309198*sin(.43*X-Y[5])*(1+Y[3])*(-sinh(-11/2-Y[7]+.2500000000*Y[3])-sinh(11/2+Y[7]+.2500000000*Y[3])))*(0.9962500000e-1+.16*cos(Y[1]))+49*(-3.924*Y[1]-3.924*Y[3]-.16*Y[4]^2*Y[1])*(0.9962500000e-1+.16*cos(Y[1]))-1.2*(.8*Y[4]^2*Y[3]+.4*(Y[4]+Y[2])^2*(Y[1]+Y[3])+158.631022309198*sin(.43*X-Y[5])*(1+Y[3])*(-sinh(-11/2-Y[7]+.2500000000*Y[3])-sinh(11/2+Y[7]+.2500000000*Y[3])))*(-.4*Y[1]-.4*Y[3])^2+.53737500000*(.8*Y[4]^2+.4*(Y[4]+Y[2])^2+2383.830+4905.000*Y[7]+158.631022309198*sin(.43*X-Y[5])*(1-Y[3])*(-sinh(-11/2-Y[7]+.2500000000*Y[3])-sin(11/2+Y[7]+.2500000000*Y[3])))*(-.4*Y[1]-1.2*Y[3])+.6694800000000*Y[4]^2*Y[3]+.3347400000000*(Y[4]+Y[2])^2*(Y[1]+Y[3])-596.710419293836*sin(.43*X-Y[5])*((Y[7]+.2500000000*Y[3]+1/2)*sinh(11/2+Y[7]+.2500000000*Y[3])-cosh(11/2+Y[7]+.2500000000*Y[3]))+596.710419293836*sin(.43*X-Y[5])*(-(Y[7]-.2500000000*Y[3]+1/2)*sinh(-11/2-Y[7]+.2500000000*Y[3])-cosh(-11/2-Y[7]+.2500000000*Y[3]))+.5376*Y[4]^2*Y[1]+7.52325000000*Y[1]*(0.8e-1*Y[4]^2-0.8e-1*(Y[4]+Y[2])^2)-36901.54125000000000*Y[3]*Y[7]^2-18450.77062500000000*Y[3]*Y[7]+3.76162500000*(4905.00*Y[7]+2452.50)*(1.0*Y[5]+.5*Y[3])-18450.77062500000000*Y[3]^2*Y[7])/(2.3445975001253875000-.53737500000*(-.4*Y[1]-1.2*Y[3])^2+.8573750000*(-.4*Y[1]-.4*Y[3])*(-.4*Y[1]-1.2*Y[3])-1.497860000000*cos(Y[1])-4.9040416669*(-.4*Y[1]-.4*Y[3])^2+7*(-.4*Y[1]-.4*Y[3])*(-.4*Y[1]-1.2*Y[3])*(0.9962500000e-1+.16*cos(Y[1]))); YP[6] := -(-.1754750976013000000+.109900000000*cosh(-11/2-Y[7]+Y[3]*(Y[5]+.2500000000+(1/2)*Y[3]))-.109900000000*cosh(-11/2-Y[7]+Y[3]*(Y[5]-.2500000000+(1/2)*Y[3]))-137.33141624963376000*Y[3]+9.526360200366240*Y[1]-134.764875000000000*Y[3]^3+.109900000000*Y[3]*(Y[5]-.2500000000+(1/2)*Y[3])*sinh(-11/2-Y[7]+Y[3]*(Y[5]-.2500000000+(1/2)*Y[3]))-.109900000000*Y[3]*(Y[5]+.2500000000+(1/2)*Y[3])*sinh(-11/2-Y[7]+Y[3]*(Y[5]+.2500000000+(1/2)*Y[3]))-.4*(-.4*Y[1]-.4*Y[3])*(-.4*Y[1]-1.2*Y[3])*(-2*Y[1]*(0.8e-1*Y[4]^2-0.8e-1*(Y[4]+Y[2])^2)+3.924*Y[1]+1340.209500*Y[3]+9810.000*Y[3]*Y[7]^2+4905.000*Y[3]*Y[7]+1.596679687-158.631022309198*sin(.43*X-Y[5])*(-(Y[7]-.2500000000*Y[3]+1/2)*sinh(-11/2-Y[7]+.2500000000*Y[3])-cosh(-11/2-Y[7]+.2500000000*Y[3]))+158.631022309198*sin(.43*X-Y[5])*((Y[7]+.2500000000*Y[3]+1/2)*sinh(11/2+Y[7]+.2500000000*Y[3])-cosh(11/2+Y[7]+.2500000000*Y[3]))-(4905.00*Y[7]+2452.50)*(1.0*Y[5]+.5*Y[3])+4905.000*Y[3]^2*Y[7]+1226.250*Y[3]^3-Y[3]*(Y[5]-.2500000000+(1/2)*Y[3])*sinh(-11/2-Y[7]+Y[3]*(Y[5]-.2500000000+(1/2)*Y[3]))+Y[3]*(Y[5]+.2500000000+(1/2)*Y[3])*sinh(-11/2-Y[7]+Y[3]*(Y[5]+.2500000000+(1/2)*Y[3]))-cosh(-11/2-Y[7]+Y[3]*(Y[5]+.2500000000+(1/2)*Y[3]))+cosh(-11/2-Y[7]+Y[3]*(Y[5]-.2500000000+(1/2)*Y[3])))-1.2*(-.4*Y[1]-.4*Y[3])*(.8*Y[4]^2+.4*(Y[4]+Y[2])^2+2383.830+4905.000*Y[7]+158.631022309198*sin(.43*X-Y[5])*(1-Y[3])*(-sinh(-11/2-Y[7]+.2500000000*Y[3])-sin(11/2+Y[7]+.2500000000*Y[3])))*(0.9962500000e-1+.16*cos(Y[1]))-1.2*(-3.924*Y[1]-3.924*Y[3]-.16*Y[4]^2*Y[1])*(-.4*Y[1]-.4*Y[3])*(-.4*Y[1]-1.2*Y[3])+100.258795838552*sin(.43*X-Y[5])*(1+Y[3])*(-sinh(-11/2-Y[7]+.2500000000*Y[3])-sinh(11/2+Y[7]+.2500000000*Y[3]))+.2596250000*(.8*Y[4]^2*Y[3]+.4*(Y[4]+Y[2])^2*(Y[1]+Y[3])+158.631022309198*sin(.43*X-Y[5])*(1+Y[3])*(-sinh(-11/2-Y[7]+.2500000000*Y[3])-sinh(11/2+Y[7]+.2500000000*Y[3])))*(-.4*Y[1]-.4*Y[3])*(-.4*Y[1]-1.2*Y[3])+(.8*Y[4]^2*Y[3]+.4*(Y[4]+Y[2])^2*(Y[1]+Y[3])+158.631022309198*sin(.43*X-Y[5])*(1+Y[3])*(-sinh(-11/2-Y[7]+.2500000000*Y[3])-sinh(11/2+Y[7]+.2500000000*Y[3])))*(-.4*Y[1]-.4*Y[3])*(-.4*Y[1]-1.2*Y[3])*(0.9962500000e-1+.16*cos(Y[1]))+.36251666668*(-.4*Y[1]-.4*Y[3])*(.8*Y[4]^2+.4*(Y[4]+Y[2])^2+2383.830+4905.000*Y[7]+158.631022309198*sin(.43*X-Y[5])*(1-Y[3])*(-sinh(-11/2-Y[7]+.2500000000*Y[3])-sin(11/2+Y[7]+.2500000000*Y[3])))+1.2*(-.4*Y[1]-.4*Y[3])^2*(-2*Y[1]*(0.8e-1*Y[4]^2-0.8e-1*(Y[4]+Y[2])^2)+3.924*Y[1]+1340.209500*Y[3]+9810.000*Y[3]*Y[7]^2+4905.000*Y[3]*Y[7]+1.596679687-158.631022309198*sin(.43*X-Y[5])*(-(Y[7]-.2500000000*Y[3]+1/2)*sinh(-11/2-Y[7]+.2500000000*Y[3])-cosh(-11/2-Y[7]+.2500000000*Y[3]))+158.631022309198*sin(.43*X-Y[5])*((Y[7]+.2500000000*Y[3]+1/2)*sinh(11/2+Y[7]+.2500000000*Y[3])-cosh(11/2+Y[7]+.2500000000*Y[3]))-(4905.00*Y[7]+2452.50)*(1.0*Y[5]+.5*Y[3])+4905.000*Y[3]^2*Y[7]+1226.250*Y[3]^3-Y[3]*(Y[5]-.2500000000+(1/2)*Y[3])*sinh(-11/2-Y[7]+Y[3]*(Y[5]-.2500000000+(1/2)*Y[3]))+Y[3]*(Y[5]+.2500000000+(1/2)*Y[3])*sinh(-11/2-Y[7]+Y[3]*(Y[5]+.2500000000+(1/2)*Y[3]))-cosh(-11/2-Y[7]+Y[3]*(Y[5]+.2500000000+(1/2)*Y[3]))+cosh(-11/2-Y[7]+Y[3]*(Y[5]-.2500000000+(1/2)*Y[3])))-1.8173750000*(.8*Y[4]^2*Y[3]+.4*(Y[4]+Y[2])^2*(Y[1]+Y[3])+158.631022309198*sin(.43*X-Y[5])*(1+Y[3])*(-sinh(-11/2-Y[7]+.2500000000*Y[3])-sinh(11/2+Y[7]+.2500000000*Y[3])))*(0.9962500000e-1+.16*cos(Y[1]))+8.4*(-3.924*Y[1]-3.924*Y[3]-.16*Y[4]^2*Y[1])*(0.9962500000e-1+.16*cos(Y[1]))-.9062916667*(.8*Y[4]^2*Y[3]+.4*(Y[4]+Y[2])^2*(Y[1]+Y[3])+158.631022309198*sin(.43*X-Y[5])*(1+Y[3])*(-sinh(-11/2-Y[7]+.2500000000*Y[3])-sinh(11/2+Y[7]+.2500000000*Y[3])))*(-.4*Y[1]-.4*Y[3])^2+0.15700000000e-1*(.8*Y[4]^2+.4*(Y[4]+Y[2])^2+2383.830+4905.000*Y[7]+158.631022309198*sin(.43*X-Y[5])*(1-Y[3])*(-sinh(-11/2-Y[7]+.2500000000*Y[3])-sin(11/2+Y[7]+.2500000000*Y[3])))*(-.4*Y[1]-1.2*Y[3])+.50562012085193000000*Y[4]^2*Y[3]+.25281006042596500000*(Y[4]+Y[2])^2*(Y[1]+Y[3])-0.9962500000e-1*(.8*Y[4]^2*Y[3]+.4*(Y[4]+Y[2])^2*(Y[1]+Y[3])+158.631022309198*sin(.43*X-Y[5])*(1+Y[3])*(-sinh(-11/2-Y[7]+.2500000000*Y[3])-sinh(11/2+Y[7]+.2500000000*Y[3])))*(-.4*Y[1]-1.2*Y[3])^2-17.4335493517808*sin(.43*X-Y[5])*((Y[7]+.2500000000*Y[3]+1/2)*sinh(11/2+Y[7]+.2500000000*Y[3])-cosh(11/2+Y[7]+.2500000000*Y[3]))+17.4335493517808*sin(.43*X-Y[5])*(-(Y[7]-.2500000000*Y[3]+1/2)*sinh(-11/2-Y[7]+.2500000000*Y[3])-cosh(-11/2-Y[7]+.2500000000*Y[3]))+.4060186666816*Y[4]^2*Y[1]+.4*(-3.924*Y[1]-3.924*Y[3]-.16*Y[4]^2*Y[1])*(-.4*Y[1]-1.2*Y[3])^2+.219800000000*Y[1]*(0.8e-1*Y[4]^2-0.8e-1*(Y[4]+Y[2])^2)-1078.119000000000000*Y[3]*Y[7]^2-539.059500000000000*Y[3]*Y[7]+.109900000000*(4905.00*Y[7]+2452.50)*(1.0*Y[5]+.5*Y[3])-539.059500000000000*Y[3]^2*Y[7])/(2.3445975001253875000-.53737500000*(-.4*Y[1]-1.2*Y[3])^2+.8573750000*(-.4*Y[1]-.4*Y[3])*(-.4*Y[1]-1.2*Y[3])-1.497860000000*cos(Y[1])-4.9040416669*(-.4*Y[1]-.4*Y[3])^2+7*(-.4*Y[1]-.4*Y[3])*(-.4*Y[1]-1.2*Y[3])*(0.9962500000e-1+.16*cos(Y[1]))); YP[8] := -(-.53737500000*(-.4*Y[1]-1.2*Y[3])*(-2*Y[1]*(0.8e-1*Y[4]^2-0.8e-1*(Y[4]+Y[2])^2)+3.924*Y[1]+1340.209500*Y[3]+9810.000*Y[3]*Y[7]^2+4905.000*Y[3]*Y[7]+1.596679687-158.631022309198*sin(.43*X-Y[5])*(-(Y[7]-.2500000000*Y[3]+1/2)*sinh(-11/2-Y[7]+.2500000000*Y[3])-cosh(-11/2-Y[7]+.2500000000*Y[3]))+158.631022309198*sin(.43*X-Y[5])*((Y[7]+.2500000000*Y[3]+1/2)*sinh(11/2+Y[7]+.2500000000*Y[3])-cosh(11/2+Y[7]+.2500000000*Y[3]))-(4905.00*Y[7]+2452.50)*(1.0*Y[5]+.5*Y[3])+4905.000*Y[3]^2*Y[7]+1226.250*Y[3]^3-Y[3]*(Y[5]-.2500000000+(1/2)*Y[3])*sinh(-11/2-Y[7]+Y[3]*(Y[5]-.2500000000+(1/2)*Y[3]))+Y[3]*(Y[5]+.2500000000+(1/2)*Y[3])*sinh(-11/2-Y[7]+Y[3]*(Y[5]+.2500000000+(1/2)*Y[3]))-cosh(-11/2-Y[7]+Y[3]*(Y[5]+.2500000000+(1/2)*Y[3]))+cosh(-11/2-Y[7]+Y[3]*(Y[5]-.2500000000+(1/2)*Y[3])))-.48*(-3.924*Y[1]-3.924*Y[3]-.16*Y[4]^2*Y[1])*(-.4*Y[1]-1.2*Y[3])+1.3373750000*(-.4*Y[1]-.4*Y[3])*(-2*Y[1]*(0.8e-1*Y[4]^2-0.8e-1*(Y[4]+Y[2])^2)+3.924*Y[1]+1340.209500*Y[3]+9810.000*Y[3]*Y[7]^2+4905.000*Y[3]*Y[7]+1.596679687-158.631022309198*sin(.43*X-Y[5])*(-(Y[7]-.2500000000*Y[3]+1/2)*sinh(-11/2-Y[7]+.2500000000*Y[3])-cosh(-11/2-Y[7]+.2500000000*Y[3]))+158.631022309198*sin(.43*X-Y[5])*((Y[7]+.2500000000*Y[3]+1/2)*sinh(11/2+Y[7]+.2500000000*Y[3])-cosh(11/2+Y[7]+.2500000000*Y[3]))-(4905.00*Y[7]+2452.50)*(1.0*Y[5]+.5*Y[3])+4905.000*Y[3]^2*Y[7]+1226.250*Y[3]^3-Y[3]*(Y[5]-.2500000000+(1/2)*Y[3])*sinh(-11/2-Y[7]+Y[3]*(Y[5]-.2500000000+(1/2)*Y[3]))+Y[3]*(Y[5]+.2500000000+(1/2)*Y[3])*sinh(-11/2-Y[7]+Y[3]*(Y[5]+.2500000000+(1/2)*Y[3]))-cosh(-11/2-Y[7]+Y[3]*(Y[5]+.2500000000+(1/2)*Y[3]))+cosh(-11/2-Y[7]+Y[3]*(Y[5]-.2500000000+(1/2)*Y[3])))-4.9040416669*(-3.924*Y[1]-3.924*Y[3]-.16*Y[4]^2*Y[1])*(-.4*Y[1]-.4*Y[3])+.119550000000*(.8*Y[4]^2*Y[3]+.4*(Y[4]+Y[2])^2*(Y[1]+Y[3])+158.631022309198*sin(.43*X-Y[5])*(1+Y[3])*(-sinh(-11/2-Y[7]+.2500000000*Y[3])-sinh(11/2+Y[7]+.2500000000*Y[3])))*(-.4*Y[1]-1.2*Y[3])+7*(-3.924*Y[1]-3.924*Y[3]-.16*Y[4]^2*Y[1])*(-.4*Y[1]-1.2*Y[3])*(0.9962500000e-1+.16*cos(Y[1]))-.4*(.8*Y[4]^2*Y[3]+.4*(Y[4]+Y[2])^2*(Y[1]+Y[3])+158.631022309198*sin(.43*X-Y[5])*(1+Y[3])*(-sinh(-11/2-Y[7]+.2500000000*Y[3])-sinh(11/2+Y[7]+.2500000000*Y[3])))*(-.4*Y[1]-1.2*Y[3])*(0.9962500000e-1+.16*cos(Y[1]))+74.2676316024185*sin(.43*X-Y[5])*(1-Y[3])*(-sinh(-11/2-Y[7]+.2500000000*Y[3])-sin(11/2+Y[7]+.2500000000*Y[3]))+1116.0579164503566049-1.3373750000*(.8*Y[4]^2+.4*(Y[4]+Y[2])^2+2383.830+4905.000*Y[7]+158.631022309198*sin(.43*X-Y[5])*(1-Y[3])*(-sinh(-11/2-Y[7]+.2500000000*Y[3])-sin(11/2+Y[7]+.2500000000*Y[3])))*(0.9962500000e-1+.16*cos(Y[1]))+0.5096666668e-1*(.8*Y[4]^2*Y[3]+.4*(Y[4]+Y[2])^2*(Y[1]+Y[3])+158.631022309198*sin(.43*X-Y[5])*(1+Y[3])*(-sinh(-11/2-Y[7]+.2500000000*Y[3])-sinh(11/2+Y[7]+.2500000000*Y[3])))*(-.4*Y[1]-.4*Y[3])+2296.4154659472358125*Y[7]+.37454278751433000000*Y[4]^2+.18727139375716500000*(Y[4]+Y[2])^2)/(2.3445975001253875000-.53737500000*(-.4*Y[1]-1.2*Y[3])^2+.8573750000*(-.4*Y[1]-.4*Y[3])*(-.4*Y[1]-1.2*Y[3])-1.497860000000*cos(Y[1])-4.9040416669*(-.4*Y[1]-.4*Y[3])^2+7*(-.4*Y[1]-.4*Y[3])*(-.4*Y[1]-1.2*Y[3])*(0.9962500000e-1+.16*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

 

Warning, cannot evaluate the solution further right of .33009777, probably a singularity

 

 

 

``

``


thank you !

Download DL.mw

Hi, 

I want to animate this code 

plots[odeplot](Trajectoire, [[x1(t), y1(t), t], [x2(t), y2(t), t], [x3(t), y3(t), t], [x4(t), y4(t), t], [x5(t), y5(t), t], [x6(t), y6(t), t], [x7(t), y7(t),t], [x8(t), y8(t), t], [x9(t), y9(t), t], [xA(t), yA(t), t]], TempsInitial..TempsFinal, numpoints = 10000,axes=boxed, scaling = constrained);

However, Maple 16 is giving me an error message :

Error, (in plots/animate) the first argument must be a procedure


I don't know how I can do to animate this code.

 

Thanks!

I encounter "insufficient  initial/boundary value" error message,  do know how to proceed from there, search with "insufficient initial value" gets no result. Any help will be appreciated.

 

 

> restart; alias(r = r(t), f = f(t)); with(plots);
r, f
> DE := diff(r, t) = 2*r+alpha*r*f, diff(f, t) = -f+alpha*r*f;
d d
--- r = 2 r + alpha r f, --- f = -f + alpha r f
dt dt
> NULL;
> params := alpha = .3;
alpha = 0.3
> initv := r(0) = 101, f(0) = 2;
> NULL;
>
> dvars := [r, t];
> chaodisplay := proc (chartname) EQ := [op(subs(params, [DE])), initv]; EQ1 := dsolve(EQ, numeric); odeplot(EQ1, dvars, t = 0 .. 300, axes = frame, numpoints = 50000, color = green, orientation = [-30, 100], title = chartname) end proc;
Warning, `EQ` is implicitly declared local to procedure `chaodisplay`
Warning, `EQ1` is implicitly declared local to procedure `chaodisplay`
>
> chaodisplay("Rabbit and Fox");
Error, (in dsolve/numeric/type_check) insufficient initial/boundary value information for procedure defined problem
>

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