:orphan: # TaoSetObjectiveAndGradient Sets a combined objective function and gradient evaluation routine for the function to be optimized ## Synopsis ``` #include "petsctao.h" PetscErrorCode TaoSetObjectiveAndGradient(Tao tao, Vec g, PetscErrorCode (*func)(Tao, Vec, PetscReal *, Vec, void *), void *ctx) ``` Logically Collective ## Input Parameters - ***tao -*** the `Tao` context - ***g -*** [optional] the vector to internally hold the gradient computation - ***func -*** the gradient function - ***ctx -*** [optional] user-defined context for private data for the gradient evaluation routine (may be `NULL`) ## Calling sequence of `func` ```none PetscErrorCode func(Tao tao, Vec x, PetscReal *f, Vec g, void *ctx); ``` - ***tao -*** the optimization object - ***x -*** input vector - ***f -*** objective value (output) - ***g -*** gradient value (output) - ***ctx -*** [optional] user-defined function context ## Note For some optimization methods using a combined function can be more eifficient. ## See Also [](ch_tao), `Tao`, `TaoSolve()`, `TaoSetObjective()`, `TaoSetHessian()`, `TaoSetGradient()`, `TaoGetObjectiveAndGradient()` ## Level beginner ## Location src/tao/interface/taosolver_fg.c ## Examples src/tao/bound/tutorials/jbearing2.c
src/tao/bound/tutorials/plate2.c
src/tao/bound/tutorials/plate2f.F90
src/tao/constrained/tutorials/ex1.c
src/tao/constrained/tutorials/maros.c
src/tao/constrained/tutorials/tomographyADMM.c
src/tao/tutorials/ex3.c
src/tao/unconstrained/tutorials/burgers_spectral.c
src/tao/unconstrained/tutorials/eptorsion1.c
src/tao/unconstrained/tutorials/eptorsion2.c
src/tao/unconstrained/tutorials/eptorsion2f.F90
--- [Edit on GitLab](https://gitlab.com/petsc/petsc/-/edit/release/src/tao/interface/taosolver_fg.c) [Index of all Tao routines](index.md) [Table of Contents for all manual pages](/manualpages/index.md) [Index of all manual pages](/manualpages/singleindex.md)