TSErrorWeightedNorm#

compute a weighted norm of the difference between two state vectors based on supplied absolute and relative tolerances

Synopsis#

#include "petscts.h"  
PetscErrorCode TSErrorWeightedNorm(TS ts, Vec U, Vec Y, NormType wnormtype, 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

  • wnormtype - norm type, either NORM_2 or NORM_INFINITY

Output Parameters#

  • norm - weighted norm, a value of 1.0 achieves a balance between absolute and relative tolerances

  • norma - weighted norm, a value of 1.0 means that the error meets the absolute tolerance set by the user

  • normr - weighted norm, a value of 1.0 means that the error meets the relative tolerance set by the user

Options Database Key#

  • -ts_adapt_wnormtype - 2, INFINITY

See Also#

TS: Scalable ODE and DAE Solvers, TS, TSErrorWeightedNormInfinity(), TSErrorWeightedNorm2(), TSErrorWeightedENorm

Level#

developer

Location#

src/ts/interface/ts.c

Edit on GitLab

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