:orphan: # TSErrorWeightedENorm compute a weighted error norm based on supplied absolute and relative tolerances ## Synopsis ``` #include "petscts.h" PetscErrorCode TSErrorWeightedENorm(TS ts, Vec E, Vec U, Vec Y, NormType wnormtype, 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 - ***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 [](ch_ts), `TS`, `TSErrorWeightedENormInfinity()`, `TSErrorWeightedENorm2()`, `TSErrorWeightedNormInfinity()`, `TSErrorWeightedNorm2()` ## Level developer ## Location src/ts/interface/ts.c --- [Edit on GitLab](https://gitlab.com/petsc/petsc/-/edit/release/src/ts/interface/ts.c) [Index of all TS routines](index.md) [Table of Contents for all manual pages](/manualpages/index.md) [Index of all manual pages](/manualpages/singleindex.md)