petsc-3.6.4 2016-04-12

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