petsc-3.6.2 2015-10-02
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# TSSetCostIntegrand

Sets the routine for evaluating the integral term in one or more cost functions

### Synopsis

    #include "petscts.h"
    PetscErrorCode  TSSetCostIntegrand(TS ts,PetscInt numcost, PetscErrorCode (*rf)(TS,PetscReal,Vec,Vec,void*),
                                                                      PetscErrorCode (*drdyf)(TS,PetscReal,Vec,Vec*,void*),
                                                                      PetscErrorCode (*drdpf)(TS,PetscReal,Vec,Vec*,void*),void *ctx)

Logically Collective on TS

### Input Parameters

| ts | - the TS context obtained from TSCreate()
| numcost | - number of gradients to be computed, this is the number of cost functions
| rf | - routine for evaluating the integrand function
| drdyf | - function that computes the gradients of the r's with respect to y,NULL if not a function y
| drdpf | - function that computes the gradients of the r's with respect to p, NULL if not a function of p
| ctx | - [optional] user-defined context for private data for the function evaluation routine (may be NULL)

### Calling sequence of rf

        rf(TS ts,PetscReal t,Vec y,Vec f[],void *ctx);

| t | - current timestep
| y | - input vector
| f | - function result; one vector entry for each cost function
| ctx | - [optional] user-defined function context

### Calling sequence of drdyf

       PetscErroCode drdyf(TS ts,PetscReal t,Vec y,Vec *drdy,void *ctx);

### Calling sequence of drdpf

       PetscErroCode drdpf(TS ts,PetscReal t,Vec y,Vec *drdp,void *ctx);

Notes: For optimization there is generally a single cost function, numcost = 1. For sensitivities there may be multiple cost functions

### Keywords

TS, sensitivity analysis, timestep, set, quadrature, function

### See Also

TSAdjointSetRHSJacobian(),TSGetCostGradients(), TSSetCostGradients()

Level:intermediate
Location: src/ts/interface/ts.c
Index of all TS routines
Table of Contents for all manual pages
Index of all manual pages