TSErrorWeightedNorm2#
compute a weighted 2-norm of the difference between two state vectors
Synopsis#
#include "petscts.h"
PetscErrorCode TSErrorWeightedNorm2(TS ts, Vec U, Vec Y, PetscReal *norm, PetscReal *norma, PetscReal *normr)
Collective
Input Parameters#
ts - time stepping context
U - state vector, usually ts->vec_sol
Y - state vector to be compared to U
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, TSErrorWeightedNorm(), TSErrorWeightedNormInfinity()
Level#
developer
Location#
Index of all TS routines
Table of Contents for all manual pages
Index of all manual pages