Hi! I’m new to using NonlinearSolve.jl and trying to understand how to provide an analytical jacobian to the problem. I realize that this is unnecessary if we have autodiff in the mix since that will be enough - but in cases where I have say registered functions (and corresponding registered jacobia…

[image] askprash: df(u,p) = 2.0 .* u That’s not outputing a matrix. Did you mean Diagonal(2.0 .* u)?

Specifying analytical jacobian in NonlinearProblem

Topic		Replies	Views
Does NonlinearSolve use the analytical jacobian? General Usage question	6	376	July 6, 2024
NonlinearSolve uses AD Jacobian even when I specify it analytically Numerics nonlinearsolve	3	207	November 14, 2024
ForwardDiff.jl Jacobian with NonlinearSolve.jl General Usage forwarddiff , nonlinearsolve	1	94	September 13, 2025
Specifying analytical Jacobian in NonlinearProblem à la Optim.only_fg! Performance nonlinearsolve	1	147	June 25, 2024
Implement JFNK with NonlinearSolve.jl Numerics	2	356	November 17, 2023