Implicit solvers

Some docs here: https://diffeq.sciml.ai/dev/features/linear_nonlinear/

nonlinear

initialization

1. OrdinaryDiffEq.alg_cache

• Val{true} implies it operates in-place

2. Calls build_nlsolver, dispatching on AbstractNLSolverAlgorithm type: these are defined in DiffEqBase. e.g. NLNewton, which would call build_nlsolver.

   a. nf = nlsolve_f(f, alg), which extracts the implicit part if using a SplitFunction

   b. SciMLBase.islinear(f): this appears to only be true if f (or f.f1) is an AbstractDiffEqOperator that isconstant?

   • If so, then it sets uf and jac_config to nothing, and calls linsolve(Val{:init},nf,u). Otherwise...

   • uf = build_uf(alg,nf,t,p,Val(true)): returns a SciMLBase.UJacobianWrapper, which captures the function, parameter and time, and can be called with just (dest, src) args (to make it easier to use the AD tools I assume?).

   • jac_config = build_jac_config(alg,nf,uf,du1,uprev,u,ztmp,dz): I think it allocates the cache for forming the Jacobian matrix?

   c. build_J_W:

   • islinearfunction(f, alg): "return the tuple (is_linear_wrt_odealg, islinearodefunction).": 2nd is true if islinear(f), 1st if 2nd or alg isa SplitAlgorithms and islinear(f.f1.f)?

   Returns a tuple

   d. nlcache = NLNewtonConstantCache object

   e. returns NLSolver object.

running