NormType#
determines what type of norm to compute with VecNorm(), VecNormBegin()/VecNormEnd() and MatNorm().
Synopsis#
typedef enum {
  NORM_1         = 0,
  NORM_2         = 1,
  NORM_FROBENIUS = 2,
  NORM_INFINITY  = 3,
  NORM_1_AND_2   = 4
} NormType;
Values#
- NORM_1- the one norm, \(||v|| = \sum_i | v_i |\). \(||A|| = \max_j || A_{*j} ||\), maximum column sum
- NORM_2- the two norm, \(||v|| = sqrt(\sum_i |v_i|^2)\) (vectors only)
- NORM_FROBENIUS- \(||A|| = sqrt(\sum_{ij} |A_{ij}|^2)\), same as- NORM_2for vectors
- NORM_INFINITY- \(||v|| = \max_i |v_i|\). \(||A|| = \max_i || A_{i*} ||_1\), maximum row sum
- NORM_1_AND_2- computes both the 1 and 2 norm of a vector. The values are stored in two adjacent- PetscRealmemory locations
Note#
See Also#
Vectors and Parallel Data, Vec, Mat, VecNorm(), VecNormBegin(), VecNormEnd(), MatNorm(), NORM_1,
NORM_2, NORM_FROBENIUS, NORM_INFINITY, NORM_1_AND_2, ReductionType
Level#
beginner
Location#
Examples#
Index of all Vec routines
Table of Contents for all manual pages
Index of all manual pages