# 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 <wnormtype> -*** 2, INFINITY





## See Also
 [](chapter_ts), `TS`, `TSErrorWeightedNormInfinity()`, `TSErrorWeightedNorm2()`, `TSErrorWeightedENorm`

## Level
developer

## Location
<A HREF="PETSC_DOC_OUT_ROOT_PLACEHOLDER/src/ts/interface/ts.c.html#TSErrorWeightedNorm">src/ts/interface/ts.c</A>


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