TSErrorWeightedENorm2#

compute a weighted 2 error norm based on supplied absolute and relative tolerances

Synopsis#

#include "petscts.h"  
PetscErrorCode TSErrorWeightedENorm2(TS ts, Vec E, Vec U, Vec Y, PetscReal *norm, PetscReal *norma, PetscReal *normr)

Collective

Input Parameters#

ts - time stepping context
E - error vector
U - state vector, usually ts->vec_sol
Y - state vector, previous time step

Output Parameters#

norm - weighted norm, a value of 1.0 means that the error matches the tolerances
norma - weighted norm based on the absolute tolerance, a value of 1.0 means that the error matches the tolerances
normr - weighted norm based on the relative tolerance, a value of 1.0 means that the error matches the tolerances

See Also#

TS: Scalable ODE and DAE Solvers, TS, TSErrorWeightedENorm(), TSErrorWeightedENormInfinity()

Level#

developer

Location#

src/ts/interface/ts.c

Index of all TS routines
Table of Contents for all manual pages
Index of all manual pages