Error In Dsolve/numeric/process_input Indication Of The Unknowns Of The Problem
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dsolve dsolve Tagged Items Feed Edit PDSolve too many arguments error... Asked: March 27 2015 by patient 30 1 12 dsolve + Manage Tags Hi, I'm using maple to solve http://199.71.183.11/tags/dsolve?page=13 non linear DE system. The error below appeared. What to do? eqd1:={diff(u(x),x)=U(x)}: http://my.math.wsu.edu/help/maple/dsolveLLnumericI.html eqd2:={diff(v(x),x)=V(x)}: eqd3:={0.004*x*diff(U(x),x)+(x-8*x*V(x)+0.006*U(x)+(3/2-12*V(x)-8*x*diff(V(x),x))*u(x)=0}: eqd4:=(0.008*x*(V(x)^2)+2*(0.6+x)*v(x)*V(x)+v(x)*u(x)+(v(x)^2)=0}: fonc:={U(x),u(x),V(x),v(x)}: sol:=dsolve(eqd1,eqd2,eqd3,eqd4,fonc}: Error, (in PDEtools/sdsolve) too many arguments; some or all of the following are wrong: [{U(x), u(x)}, {diff(v(x), x) = V(x)}, {1/250*x*(diff(U(x), x))+(x-8*x*V(x)+3/500)*U(x)+(3/2-12*V(x)-8*x*(diff(V(x), x)))*u(x) = 0}, {1/125*x*V(x)^2+2*(3/5+x)*v(x)*V(x)+v(x)*u(x)+v(x)^2 = 0}] Edit "solve" returns nothing. ... Asked: March 18 2015 by reinhardsiegfried 25 1 3 maple error in dsolve + Manage Tags Here is a sample code: restart;N := 3; for i to 2 do f[i] := unapply(a[0][i]+Sum(a[j][i]*t^j, j = 1 .. N), t) end do; sys : = {diff(x(t),t) = y(t), diff(y(t),t) = x(t) } syssub := subs([x(t) = f[1](t), y(t) = f[2](t)],sys) simplify(syssub) solve(simplify(syssub) union {simplify(f[1](0))=2, simplify(f[2](0))=1}), {a[0][1], a[0][2], a[1][1], a[1][2], a[2][1], a[2][2]}); error in dsolve/numeric/process_input Now for some reason solve returns nothing. This doesn't make sense to me since the system is determinable. Here is a proof, ans: = dsolve(sys union {x(0) = 2, y(0) = 1},{x(t), y(t)}, type = series) will actually return the result. The reason I am doing this is because I am currently working on a bigger nonlinear DE system and it couldn't be done with just dsolve and since there isn't a package in Maple that makes a series representation and plug and chug, I have to write out the necessary steps. Something tells me that Maple has a lot of trouble getting around the variable "t". But it still makes no sense why it can't even return a[0][1] = 1,a[0][2]=2 Edit Numerical solution branch... Asked: March 18 2015 by darya 5 1 3 maple academic problem + Manage Tags Could anyone please hepl me? I have the following systeme1 := exp(F(r)/phi_0)*L*A(r) = (1/2)*(2*(diff(A(r), r, r))*B(r)*A(r)*r*C(r)+2*B(r)*A(r)*(diff(A(r), r))*(diff(C(r), r))*r-(diff(A(r), r))^2*B(r)*r*C(r)-(diff(A(r), r))*(diff(B(r), r))*A(r)*r*C(r)+4*B(r)*A(r)*(diff(A(r), r))*C(r))/(B(r)^2*A(r)*r*C(r)); e2 := alpha*(diff(F(r), r, r))+(alpha^2+omega)*(diff(F(r), r))^2+(1/4)*(4*(diff(C(r), r, r))*B(r)*A(r)^2*C(r)*r+2*(diff(A(r), r, r))*A(r)*B(r)*r*C(r)^2-2*B(r)*A(r)^2*(diff(C(r), r))^2*r-(diff(A(r), r))^2*B(r)*r*C(r)^2-2*A(r)^2*C(r)*(diff(C(r), r))*(diff(B(r), r))*r-(diff(A(r), r))*(diff(
initial/boundary conditions numeric - name; instruct dsolve to find a numerical solution vars - (optional) dependent variable or a set or list of dependent variables for odesys procopts - (required if odesys is not present) options that specify a procedure defined system options - (optional) equations of the form keyword = value Description The dsolve command with the numeric or type=numeric option finds a numerical solution for the ODE or ODE system. If the optional equation method= numericmethod is provided (where numericmethod is one of dsolve[rkf45], dsolve[rosenbrock], dsolve[numeric,bvp], dsolve[dverk78], dsolve[lsode], dsolve[gear], dsolve[taylorseries], or dsolve[classical]), dsolve uses that method to obtain the numerical solution. Both initial and boundary value problems can be numerically solved. For a system input, the type of problem is automatically detected. By default, a procedure is returned that can be used to obtain solution values if given the value of the independent variable. The default for initial value problems (IVP) is a Runge-Kutta Fehlberg method that produces a fifth order accurate solution. (For more information, see dsolve[rkf45] or dsolve[numeric,IVP].) For boundary value problems (BVP), a finite difference technique with Richardson extrapolation is used. For more information, see dsolve[numeric,BVP]. All IVP methods can be used for complex-valued IVPs with a real-valued independent variable. None of the BVP methods can currently be used for complex-valued problems, requiring the system be converted to a real system before calling dsolve. The IVP methods have additional capabilities for the returned solution procedure. Specifically, it is possible to query the last computed solution value (useful for problems with singularities), query the initial data, and change the initial data for some solutio