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#

TS: Scalable ODE and DAE Solvers, TS, TSErrorWeightedENormInfinity(), TSErrorWeightedENorm2(), TSErrorWeightedNormInfinity(), TSErrorWeightedNorm2()

Level#

developer

Location#

src/ts/interface/ts.c

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Index of all manual pages