fixed jacobian(f::Fun) #891
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Test case (requires also JuliaApproximation/ApproxFunBase.jl#479): using ApproxFun xdom = Chebyshev(-1..1) ydom = Chebyshev(-1..1) domain = xdom * ydom x,y = Fun(identity, domain) Dx = Derivative(Chebyshev()^2, [1,0]) Dy = Derivative(Chebyshev()^2, [0,1]) N(u, v) = [ 2*u - x; 3*v + y ] u0 = one(x) * one(y) v0 = one(x) * one(y) u, v = newton(N, [u0, v0]) Bug report: JuliaApproximation#887
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Test case (requires also JuliaApproximation/ApproxFunBase.jl#479):
using ApproxFun
Bug report:
#887