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 tao, Vec x, PetscReal *f, Vec g, void *ctx), void *ctx)
Logically Collective
Input Parameters#
- tao - the - Taocontext
- 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#
- 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#
TAO: Optimization Solvers, Tao, TaoSolve(), TaoSetObjective(), TaoSetHessian(), TaoSetGradient(), TaoGetObjectiveAndGradient()
Level#
beginner
Location#
Examples#
src/tao/bound/tutorials/jbearing2.c
src/tao/bound/tutorials/plate2.c
src/tao/bound/tutorials/plate2f.F90
src/tao/unconstrained/tutorials/eptorsion2.c
src/tao/constrained/tutorials/ex1.c
src/tao/constrained/tutorials/tomographyADMM.c
src/tao/unconstrained/tutorials/burgers_spectral.c
src/tao/unconstrained/tutorials/eptorsion1.c
src/tao/constrained/tutorials/maros.c
src/tao/tutorials/ex3.c
Index of all Tao routines
Table of Contents for all manual pages
Index of all manual pages