Updated prologs for Krylov subspace methods.

stopcriterion
Salvatore Filippone 17 years ago
parent 1d6f6a3d98
commit b3b1a68781

@ -201,6 +201,52 @@ Module mld_krylov_mod
contains contains
!
! File: mld_krylov_mod.f90
!
! Subroutine: mld_dkrylov
!
! Front-end for the Krylov subspace iterations, real version
!
! Arguments:
!
! methd - character The specific method; can take the values:
! CG
! CGS
! BICG
! BICGSTAB
! BICGSTABL
! RGMRES
!
! a - type(<psb_dspmat_type>) Input: sparse matrix containing A.
! prec - type(<mld_dprec_type>) Input: preconditioner
! b - real,dimension(:) Input: vector containing the
! right hand side B
! x - real,dimension(:) Input/Output: vector containing the
! initial guess and final solution X.
! eps - real Input: Stopping tolerance; the iteration is
! stopped when the error estimate
! |err| <= eps
! desc_a - type(<psb_desc_type>). Input: The communication descriptor.
! info - integer. Output: Return code
!
! itmax - integer(optional) Input: maximum number of iterations to be
! performed.
! iter - integer(optional) Output: how many iterations have been
! performed.
! err - real (optional) Output: error estimate on exit
! itrace - integer(optional) Input: print an informational message
! with the error estimate every itrace
! iterations
! irst - integer(optional) Input: restart parameter for RGMRES and
! BICGSTAB(L) methods
! istop - integer(optional) Input: stopping criterion, or how
! to estimate the error.
! 1: err = |r|/|b|
! 2: err = |r|/(|a||x|+|b|)
! where r is the (preconditioned, recursive
! estimate of) residual
!
Subroutine mld_dkrylov(method,a,prec,b,x,eps,desc_a,info,& Subroutine mld_dkrylov(method,a,prec,b,x,eps,desc_a,info,&
&itmax,iter,err,itrace,irst,istop) &itmax,iter,err,itrace,irst,istop)
@ -274,6 +320,50 @@ contains
end subroutine mld_dkrylov end subroutine mld_dkrylov
!
! File: mld_krylov_mod.f90
!
! Subroutine: mld_zkrylov
!
! Front-end for the Krylov subspace iterations, complexversion
!
! Arguments:
!
! methd - character The specific method; can take the values:
! CGS
! BICGSTAB
! RGMRES
!
! a - type(<psb_zspmat_type>) Input: sparse matrix containing A.
! prec - type(<mld_zprec_type>) Input: preconditioner
! b - complex,dimension(:) Input: vector containing the
! right hand side B
! x - complex,dimension(:) Input/Output: vector containing the
! initial guess and final solution X.
! eps - real Input: Stopping tolerance; the iteration is
! stopped when the error estimate
! |err| <= eps
! desc_a - type(<psb_desc_type>). Input: The communication descriptor.
! info - integer. Output: Return code
!
! itmax - integer(optional) Input: maximum number of iterations to be
! performed.
! iter - integer(optional) Output: how many iterations have been
! performed.
! err - real (optional) Output: error estimate on exit
! itrace - integer(optional) Input: print an informational message
! with the error estimate every itrace
! iterations
! irst - integer(optional) Input: restart parameter for RGMRES and
! BICGSTAB(L) methods
! istop - integer(optional) Input: stopping criterion, or how
! to estimate the error.
! 1: err = |r|/|b|
! 2: err = |r|/(|a||x|+|b|)
! where r is the (preconditioned, recursive
! estimate of) residual
!
Subroutine mld_zkrylov(method,a,prec,b,x,eps,desc_a,info,& Subroutine mld_zkrylov(method,a,prec,b,x,eps,desc_a,info,&
&itmax,iter,err,itrace,irst,istop) &itmax,iter,err,itrace,irst,istop)
use psb_base_mod use psb_base_mod

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