Can this package be used to solve the Grad-Shafranov equation <https://en.wikipedia.org/wiki/Grad%E2%80%93Shafranov_equation>?
On Wednesday, September 16, 2015 at 3:33:22 PM UTC-7, Sheehan Olver wrote: > > > ApproxFun is a package for approximating and solving differential > equations. ApproxFun v0.0.8 Adds (experimental) support for solving > nonlinear ODEs, using Newton iteration and automatic differentiation. The > following example solves and plots a singularly perturbed nonlinear > two-point boundary value problem > > x=Fun() > u0=0.x # The initial guess for Newton iteration > > N=u->[u[-1.]-1.,u[1.]+0.5,0.001u''+6*(1-x^2)*u'+u^2-1.] > u=newton(N,u0) > > ApproxFun.plot(u) # Requires PyPlot or Gadfly > > > > Note: previous support for approximating functions on a disk has been > moved to a separate package: > > https://github.com/ApproxFun/DiskFun.jl > > And this will be the last version to support Julia 0.3! > >
