Add optional jvp, vjp, hvp for vno#1
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andrewrosemberg wants to merge 5 commits intoar/vector-nonlinear-oraclefrom
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Add optional jvp, vjp, hvp for vno#1andrewrosemberg wants to merge 5 commits intoar/vector-nonlinear-oraclefrom
andrewrosemberg wants to merge 5 commits intoar/vector-nonlinear-oraclefrom
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…cks into ExaModel Introduces `VectorNonlinearOracle` (and the companion `ExaModelWithOracle`) so users can inject an arbitrary nonlinear constraint block — e.g. a GPU physics simulator or external ODE solver — without having to express it in ExaModels' SIMD generator language. Design: - `VectorNonlinearOracle` holds user callbacks `f!(c,x)`, `jac!(vals,x)`, `hess!(vals,x,y)` together with a pre-declared sparsity pattern and bounds. - `constraint(core, oracle)` registers an oracle in `ExaCore`, appending its constraint bounds and updating ncon/nnzj/nnzh. - `ExaModel(core)` automatically returns an `ExaModelWithOracle` (a new `AbstractExaModel` subtype) when oracles are registered, and the plain `ExaModel` otherwise. Existing code is unaffected. - `ExaModelWithOracle` carries the same SIMD fields as `ExaModel` (objs, cons, θ) plus a `Tuple` of oracles and pre-computed row/col offsets. All NLPModels callbacks (cons_nln!, jac_coord!, jac_structure!, hess_coord!, hess_structure!, jprod_nln!, jtprod_nln!, hprod!) are overloaded to first call the SIMD path then call each oracle's callback into the appropriate view. Sparsity convention (matching MadNLP/NLPModels): - `jac_rows/jac_cols` are 1-based within the oracle's own constraint block; the row-offset is applied automatically during `jac_structure!`. - `hess_rows/hess_cols` are 1-based variable indices (lower triangle of H). Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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update exanauts#243