VecAXPY#
Computes y = alpha x + y
.
Synopsis#
#include "petscvec.h"
PetscErrorCode VecAXPY(Vec y, PetscScalar alpha, Vec x)
Logically Collective
Input Parameters#
alpha - the scalar
x - vector scale by
alpha
y - vector accumulated into
Output Parameter#
y - output vector
Notes#
This routine is optimized for alpha of 0.0, otherwise it calls the BLAS routine
See Also#
Vectors and Parallel Data, Vec
, VecAYPX()
, VecMAXPY()
, VecWAXPY()
, VecAXPBYPCZ()
, VecAXPBY()
Level#
intermediate
Location#
Examples#
src/tao/constrained/tutorials/ex1.c
src/tao/constrained/tutorials/tomographyADMM.c
src/tao/constrained/tutorials/maros.c
src/tao/tutorials/ex3.c
src/tao/bound/tutorials/jbearing2.c
src/tao/tutorials/ex4.c
src/tao/unconstrained/tutorials/eptorsion1.c
src/tao/unconstrained/tutorials/eptorsion3.c
src/tao/unconstrained/tutorials/rosenbrock1.c
src/tao/leastsquares/tutorials/tomography.c
Implementations#
VecAXPY_Nest() in src/vec/vec/impls/nest/vecnest.c
VecAXPY_Seq() in src/vec/vec/impls/seq/bvec1.c
VecAXPY_SeqKokkos() in src/vec/vec/impls/seq/kokkos/veckok.kokkos.cxx
VecAXPY_SeqViennaCL() in src/vec/vec/impls/seq/seqviennacl/vecviennacl.cxx
Index of all Vec routines
Table of Contents for all manual pages
Index of all manual pages