xref: /petsc/src/ksp/pc/impls/jacobi/jacobi.c (revision 4b9ad92859ccb93b5e851e53cb8c4c04ac10e155)

/*$Id: jacobi.c,v 1.75 2001/08/07 03:03:32 balay Exp $*/

/*  --------------------------------------------------------------------

     This file implements a Jacobi preconditioner for matrices that use
     the Mat interface (various matrix formats).  Actually, the only
     matrix operation used here is MatGetDiagonal(), which extracts
     diagonal elements of the preconditioning matrix.

     The following basic routines are required for each preconditioner.
          PCCreate_XXX()          - Creates a preconditioner context
          PCSetFromOptions_XXX()  - Sets runtime options
          PCApply_XXX()           - Applies the preconditioner
          PCDestroy_XXX()         - Destroys the preconditioner context
     where the suffix "_XXX" denotes a particular implementation, in
     this case we use _Jacobi (e.g., PCCreate_Jacobi, PCApply_Jacobi).
     These routines are actually called via the common user interface
     routines PCCreate(), PCSetFromOptions(), PCApply(), and PCDestroy(),
     so the application code interface remains identical for all
     preconditioners.

     Another key routine is:
          PCSetUp_XXX()           - Prepares for the use of a preconditioner
     by setting data structures and options.   The interface routine PCSetUp()
     is not usually called directly by the user, but instead is called by
     PCApply() if necessary.

     Additional basic routines are:
          PCView_XXX()            - Prints details of runtime options that
                                    have actually been used.
     These are called by application codes via the interface routines
     PCView().

     The various types of solvers (preconditioners, Krylov subspace methods,
     nonlinear solvers, timesteppers) are all organized similarly, so the
     above description applies to these categories also.  One exception is
     that the analogues of PCApply() for these components are KSPSolve(),
     SNESSolve(), and TSSolve().

     Additional optional functionality unique to preconditioners is left and
     right symmetric preconditioner application via PCApplySymmetricLeft()
     and PCApplySymmetricRight().  The Jacobi implementation is
     PCApplySymmetricLeftOrRight_Jacobi().

    -------------------------------------------------------------------- */

/*
   Include files needed for the Jacobi preconditioner:
     pcimpl.h - private include file intended for use by all preconditioners
*/

#include "src/ksp/pc/pcimpl.h"   /*I "petscpc.h" I*/

/*
   Private context (data structure) for the Jacobi preconditioner.
*/
typedef struct {
  Vec        diag;               /* vector containing the reciprocals of the diagonal elements
                                    of the preconditioner matrix */
  Vec        diagsqrt;           /* vector containing the reciprocals of the square roots of
                                    the diagonal elements of the preconditioner matrix (used
                                    only for symmetric preconditioner application) */
  PetscTruth userowmax;
} PC_Jacobi;

EXTERN_C_BEGIN
#undef __FUNCT__
#define __FUNCT__ "PCJacobiSetUseRowMax_Jacobi"
int PCJacobiSetUseRowMax_Jacobi(PC pc)
{
  PC_Jacobi *j;

  PetscFunctionBegin;
  j            = (PC_Jacobi*)pc->data;
  j->userowmax = PETSC_TRUE;
  PetscFunctionReturn(0);
}
EXTERN_C_END

/* -------------------------------------------------------------------------- */
/*
   PCSetUp_Jacobi - Prepares for the use of the Jacobi preconditioner
                    by setting data structures and options.

   Input Parameter:
.  pc - the preconditioner context

   Application Interface Routine: PCSetUp()

   Notes:
   The interface routine PCSetUp() is not usually called directly by
   the user, but instead is called by PCApply() if necessary.
*/
#undef __FUNCT__
#define __FUNCT__ "PCSetUp_Jacobi"
static int PCSetUp_Jacobi(PC pc)
{
  PC_Jacobi     *jac = (PC_Jacobi*)pc->data;
  Vec           diag,diagsqrt;
  int           ierr,n,i,zeroflag=0;
  PetscScalar   *x;

  PetscFunctionBegin;

  /*
       For most preconditioners the code would begin here something like

  if (pc->setupcalled == 0) { allocate space the first time this is ever called
    ierr = VecDuplicate(pc->vec,&jac->diag);CHKERRQ(ierr);
    PetscLogObjectParent(pc,jac->diag);
  }

    But for this preconditioner we want to support use of both the matrix' diagonal
    elements (for left or right preconditioning) and square root of diagonal elements
    (for symmetric preconditioning).  Hence we do not allocate space here, since we
    don't know at this point which will be needed (diag and/or diagsqrt) until the user
    applies the preconditioner, and we don't want to allocate BOTH unless we need
    them both.  Thus, the diag and diagsqrt are allocated in PCSetUp_Jacobi_NonSymmetric()
    and PCSetUp_Jacobi_Symmetric(), respectively.
  */

  /*
    Here we set up the preconditioner; that is, we copy the diagonal values from
    the matrix and put them into a format to make them quick to apply as a preconditioner.
  */
  diag     = jac->diag;
  diagsqrt = jac->diagsqrt;

  if (diag) {
    if (jac->userowmax) {
      ierr = MatGetRowMax(pc->pmat,diag);CHKERRQ(ierr);
    } else {
      ierr = MatGetDiagonal(pc->pmat,diag);CHKERRQ(ierr);
    }
    ierr = VecReciprocal(diag);CHKERRQ(ierr);
    ierr = VecGetLocalSize(diag,&n);CHKERRQ(ierr);
    ierr = VecGetArray(diag,&x);CHKERRQ(ierr);
    for (i=0; i<n; i++) {
      if (x[i] == 0.0) {
        x[i]     = 1.0;
        zeroflag = 1;
      }
    }
    ierr = VecRestoreArray(diag,&x);CHKERRQ(ierr);
  }
  if (diagsqrt) {
    if (jac->userowmax) {
      ierr = MatGetRowMax(pc->pmat,diagsqrt);CHKERRQ(ierr);
    } else {
      ierr = MatGetDiagonal(pc->pmat,diagsqrt);CHKERRQ(ierr);
    }
    ierr = VecGetLocalSize(diagsqrt,&n);CHKERRQ(ierr);
    ierr = VecGetArray(diagsqrt,&x);CHKERRQ(ierr);
    for (i=0; i<n; i++) {
      if (x[i] != 0.0) x[i] = 1.0/sqrt(PetscAbsScalar(x[i]));
      else {
        x[i]     = 1.0;
        zeroflag = 1;
      }
    }
    ierr = VecRestoreArray(diagsqrt,&x);CHKERRQ(ierr);
  }
  if (zeroflag) {
    PetscLogInfo(pc,"PCSetUp_Jacobi:Zero detected in diagonal of matrix, using 1 at those locations\n");
  }

  PetscFunctionReturn(0);
}
/* -------------------------------------------------------------------------- */
/*
   PCSetUp_Jacobi_Symmetric - Allocates the vector needed to store the
   inverse of the square root of the diagonal entries of the matrix.  This
   is used for symmetric application of the Jacobi preconditioner.

   Input Parameter:
.  pc - the preconditioner context
*/
#undef __FUNCT__
#define __FUNCT__ "PCSetUp_Jacobi_Symmetric"
static int PCSetUp_Jacobi_Symmetric(PC pc)
{
  int        ierr;
  PC_Jacobi  *jac = (PC_Jacobi*)pc->data;

  PetscFunctionBegin;

  ierr = VecDuplicate(pc->vec,&jac->diagsqrt);CHKERRQ(ierr);
  PetscLogObjectParent(pc,jac->diagsqrt);
  ierr = PCSetUp_Jacobi(pc);CHKERRQ(ierr);
  PetscFunctionReturn(0);
}
/* -------------------------------------------------------------------------- */
/*
   PCSetUp_Jacobi_NonSymmetric - Allocates the vector needed to store the
   inverse of the diagonal entries of the matrix.  This is used for left of
   right application of the Jacobi preconditioner.

   Input Parameter:
.  pc - the preconditioner context
*/
#undef __FUNCT__
#define __FUNCT__ "PCSetUp_Jacobi_NonSymmetric"
static int PCSetUp_Jacobi_NonSymmetric(PC pc)
{
  int        ierr;
  PC_Jacobi  *jac = (PC_Jacobi*)pc->data;

  PetscFunctionBegin;

  ierr = VecDuplicate(pc->vec,&jac->diag);CHKERRQ(ierr);
  PetscLogObjectParent(pc,jac->diag);
  ierr = PCSetUp_Jacobi(pc);CHKERRQ(ierr);
  PetscFunctionReturn(0);
}
/* -------------------------------------------------------------------------- */
/*
   PCApply_Jacobi - Applies the Jacobi preconditioner to a vector.

   Input Parameters:
.  pc - the preconditioner context
.  x - input vector

   Output Parameter:
.  y - output vector

   Application Interface Routine: PCApply()
 */
#undef __FUNCT__
#define __FUNCT__ "PCApply_Jacobi"
static int PCApply_Jacobi(PC pc,Vec x,Vec y)
{
  PC_Jacobi *jac = (PC_Jacobi*)pc->data;
  int       ierr;

  PetscFunctionBegin;
  if (!jac->diag) {
    ierr = PCSetUp_Jacobi_NonSymmetric(pc);CHKERRQ(ierr);
  }
  ierr = VecPointwiseMult(x,jac->diag,y);CHKERRQ(ierr);
  PetscFunctionReturn(0);
}
/* -------------------------------------------------------------------------- */
/*
   PCApplySymmetricLeftOrRight_Jacobi - Applies the left or right part of a
   symmetric preconditioner to a vector.

   Input Parameters:
.  pc - the preconditioner context
.  x - input vector

   Output Parameter:
.  y - output vector

   Application Interface Routines: PCApplySymmetricLeft(), PCApplySymmetricRight()
*/
#undef __FUNCT__
#define __FUNCT__ "PCApplySymmetricLeftOrRight_Jacobi"
static int PCApplySymmetricLeftOrRight_Jacobi(PC pc,Vec x,Vec y)
{
  int       ierr;
  PC_Jacobi *jac = (PC_Jacobi*)pc->data;

  PetscFunctionBegin;
  if (!jac->diagsqrt) {
    ierr = PCSetUp_Jacobi_Symmetric(pc);CHKERRQ(ierr);
  }
  VecPointwiseMult(x,jac->diagsqrt,y);
  PetscFunctionReturn(0);
}
/* -------------------------------------------------------------------------- */
/*
   PCDestroy_Jacobi - Destroys the private context for the Jacobi preconditioner
   that was created with PCCreate_Jacobi().

   Input Parameter:
.  pc - the preconditioner context

   Application Interface Routine: PCDestroy()
*/
#undef __FUNCT__
#define __FUNCT__ "PCDestroy_Jacobi"
static int PCDestroy_Jacobi(PC pc)
{
  PC_Jacobi *jac = (PC_Jacobi*)pc->data;
  int       ierr;

  PetscFunctionBegin;
  if (jac->diag)     {ierr = VecDestroy(jac->diag);CHKERRQ(ierr);}
  if (jac->diagsqrt) {ierr = VecDestroy(jac->diagsqrt);CHKERRQ(ierr);}

  /*
      Free the private data structure that was hanging off the PC
  */
  ierr = PetscFree(jac);CHKERRQ(ierr);
  PetscFunctionReturn(0);
}

#undef __FUNCT__
#define __FUNCT__ "PCSetFromOptions_Jacobi"
static int PCSetFromOptions_Jacobi(PC pc)
{
  PC_Jacobi  *jac = (PC_Jacobi*)pc->data;
  int        ierr;

  PetscFunctionBegin;
  ierr = PetscOptionsHead("Jacobi options");CHKERRQ(ierr);
    ierr = PetscOptionsLogical("-pc_jacobi_rowmax","Use row maximums for diagonal","PCJacobiSetUseRowMax",jac->userowmax,
                          &jac->userowmax,PETSC_NULL);CHKERRQ(ierr);
  ierr = PetscOptionsTail();CHKERRQ(ierr);
  PetscFunctionReturn(0);
}

/* -------------------------------------------------------------------------- */
/*
   PCCreate_Jacobi - Creates a Jacobi preconditioner context, PC_Jacobi,
   and sets this as the private data within the generic preconditioning
   context, PC, that was created within PCCreate().

   Input Parameter:
.  pc - the preconditioner context

   Application Interface Routine: PCCreate()
*/

/*MC
     PCJacobi - Jacobi (i.e. diagonal scaling preconditioning)

   Options Database Key:
.    -pc_jacobi_rowmax - use the maximum absolute value in each row as the scaling factor,
                        rather than the diagonal

   Level: beginner

  Concepts: Jacobi, diagonal scaling, preconditioners

  Notes: By using KSPSetPreconditionerSide(ksp,PC_SYMMETRIC) or -ksp_symmetric_pc you
         can scale each side of the matrix by the squareroot of the diagonal entries.

         Zero entries along the diagonal are replaced with the value 1.0

.seealso:  PCCreate(), PCSetType(), PCType (for list of available types), PC,
           PCJacobiSetUseRowMax(),
M*/

EXTERN_C_BEGIN
#undef __FUNCT__
#define __FUNCT__ "PCCreate_Jacobi"
int PCCreate_Jacobi(PC pc)
{
  PC_Jacobi *jac;
  int       ierr;

  PetscFunctionBegin;

  /*
     Creates the private data structure for this preconditioner and
     attach it to the PC object.
  */
  ierr      = PetscNew(PC_Jacobi,&jac);CHKERRQ(ierr);
  pc->data  = (void*)jac;

  /*
     Logs the memory usage; this is not needed but allows PETSc to
     monitor how much memory is being used for various purposes.
  */
  PetscLogObjectMemory(pc,sizeof(PC_Jacobi));

  /*
     Initialize the pointers to vectors to ZERO; these will be used to store
     diagonal entries of the matrix for fast preconditioner application.
  */
  jac->diag          = 0;
  jac->diagsqrt      = 0;
  jac->userowmax     = PETSC_FALSE;

  /*
      Set the pointers for the functions that are provided above.
      Now when the user-level routines (such as PCApply(), PCDestroy(), etc.)
      are called, they will automatically call these functions.  Note we
      choose not to provide a couple of these functions since they are
      not needed.
  */
  pc->ops->apply               = PCApply_Jacobi;
  pc->ops->applytranspose      = PCApply_Jacobi;
  pc->ops->setup               = PCSetUp_Jacobi;
  pc->ops->destroy             = PCDestroy_Jacobi;
  pc->ops->setfromoptions      = PCSetFromOptions_Jacobi;
  pc->ops->view                = 0;
  pc->ops->applyrichardson     = 0;
  pc->ops->applysymmetricleft  = PCApplySymmetricLeftOrRight_Jacobi;
  pc->ops->applysymmetricright = PCApplySymmetricLeftOrRight_Jacobi;
  ierr = PetscObjectComposeFunctionDynamic((PetscObject)pc,"PCJacobiSetUseRowMax_C","PCJacobiSetUseRowMax_Jacobi",
                    PCJacobiSetUseRowMax_Jacobi);CHKERRQ(ierr);
  PetscFunctionReturn(0);
}
EXTERN_C_END

#undef __FUNCT__
#define __FUNCT__ "PCJacobiSetUseRowMax"
/*@
   PCJacobiSetUseRowMax - Causes the Jacobi preconditioner to use the
      maximum entry in each row as the diagonal preconditioner, instead of
      the diagonal entry

   Collective on PC

   Input Parameters:
.  pc - the preconditioner context


   Options Database Key:
.  -pc_jacobi_rowmax

   Level: intermediate

   Concepts: Jacobi preconditioner

@*/
int PCJacobiSetUseRowMax(PC pc)
{
  int ierr,(*f)(PC);

  PetscFunctionBegin;
  PetscValidHeaderSpecific(pc,PC_COOKIE);
  ierr = PetscObjectQueryFunction((PetscObject)pc,"PCJacobiSetRowMax_C",(void (**)(void))&f);CHKERRQ(ierr);
  if (f) {
    ierr = (*f)(pc);CHKERRQ(ierr);
  }
  PetscFunctionReturn(0);
}