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


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