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psblas3/base/modules/psb_d_base_mat_mod.f90

1377 lines
50 KiB
Fortran

!!$
!!$ Parallel Sparse BLAS version 3.0
!!$ (C) Copyright 2006, 2007, 2008, 2009, 2010
!!$ Salvatore Filippone University of Rome Tor Vergata
!!$ Alfredo Buttari CNRS-IRIT, Toulouse
!!$
!!$ Redistribution and use in source and binary forms, with or without
!!$ modification, are permitted provided that the following conditions
!!$ are met:
!!$ 1. Redistributions of source code must retain the above copyright
!!$ notice, this list of conditions and the following disclaimer.
!!$ 2. Redistributions in binary form must reproduce the above copyright
!!$ notice, this list of conditions, and the following disclaimer in the
!!$ documentation and/or other materials provided with the distribution.
!!$ 3. The name of the PSBLAS group or the names of its contributors may
!!$ not be used to endorse or promote products derived from this
!!$ software without specific written permission.
!!$
!!$ THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
!!$ ``AS IS'' AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED
!!$ TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
!!$ PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE PSBLAS GROUP OR ITS CONTRIBUTORS
!!$ BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
!!$ CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
!!$ SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
!!$ INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
!!$ CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
!!$ ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
!!$ POSSIBILITY OF SUCH DAMAGE.
!!$
!!$
!
!
module psb_d_base_mat_mod
use psb_base_mat_mod
use psb_d_base_vect_mod
!> \namespace psb_base_mod \class psb_d_base_sparse_mat
!! \extends psb_base_mod::psb_base_sparse_mat
!! The psb_d_base_sparse_mat type, extending psb_base_sparse_mat,
!! defines a middle level real(psb_dpk_) sparse matrix object.
!! This class object itself does not have any additional members
!! with respect to those of the base class. No methods can be fully
!! implemented at this level, but we can define the interface for the
!! computational methods requiring the knowledge of the underlying
!! field, such as the matrix-vector product; this interface is defined,
!! but is supposed to be overridden at the leaf level.
!!
!! About the method MOLD: this has been defined for those compilers
!! not yet supporting ALLOCATE( ...,MOLD=...); it's otherwise silly to
!! duplicate "by hand" what is specified in the language (in this case F2008)
!!
type, extends(psb_base_sparse_mat) :: psb_d_base_sparse_mat
contains
!
! Data management methods: defined here, but (mostly) not implemented.
!
procedure, pass(a) :: csput => psb_d_base_csput
procedure, pass(a) :: d_csgetrow => psb_d_base_csgetrow
procedure, pass(a) :: d_csgetblk => psb_d_base_csgetblk
procedure, pass(a) :: get_diag => psb_d_base_get_diag
generic, public :: csget => d_csgetrow, d_csgetblk
procedure, pass(a) :: csclip => psb_d_base_csclip
procedure, pass(a) :: mold => psb_d_base_mold
procedure, pass(a) :: cp_to_coo => psb_d_base_cp_to_coo
procedure, pass(a) :: cp_from_coo => psb_d_base_cp_from_coo
procedure, pass(a) :: cp_to_fmt => psb_d_base_cp_to_fmt
procedure, pass(a) :: cp_from_fmt => psb_d_base_cp_from_fmt
procedure, pass(a) :: mv_to_coo => psb_d_base_mv_to_coo
procedure, pass(a) :: mv_from_coo => psb_d_base_mv_from_coo
procedure, pass(a) :: mv_to_fmt => psb_d_base_mv_to_fmt
procedure, pass(a) :: mv_from_fmt => psb_d_base_mv_from_fmt
procedure, pass(a) :: d_base_cp_from
generic, public :: cp_from => d_base_cp_from
procedure, pass(a) :: d_base_mv_from
generic, public :: mv_from => d_base_mv_from
!
! Transpose methods: defined here but not implemented.
!
procedure, pass(a) :: transp_1mat => psb_d_base_transp_1mat
procedure, pass(a) :: transp_2mat => psb_d_base_transp_2mat
procedure, pass(a) :: transc_1mat => psb_d_base_transc_1mat
procedure, pass(a) :: transc_2mat => psb_d_base_transc_2mat
!
! Computational methods: defined here but not implemented.
!
procedure, pass(a) :: d_sp_mv => psb_d_base_vect_mv
procedure, pass(a) :: d_csmv => psb_d_base_csmv
procedure, pass(a) :: d_csmm => psb_d_base_csmm
generic, public :: csmm => d_csmm, d_csmv, d_sp_mv
procedure, pass(a) :: d_in_sv => psb_d_base_inner_vect_sv
procedure, pass(a) :: d_inner_cssv => psb_d_base_inner_cssv
procedure, pass(a) :: d_inner_cssm => psb_d_base_inner_cssm
generic, public :: inner_cssm => d_inner_cssm, d_inner_cssv, d_in_sv
procedure, pass(a) :: d_vect_cssv => psb_d_base_vect_cssv
procedure, pass(a) :: d_cssv => psb_d_base_cssv
procedure, pass(a) :: d_cssm => psb_d_base_cssm
generic, public :: cssm => d_cssm, d_cssv, d_vect_cssv
procedure, pass(a) :: d_scals => psb_d_base_scals
procedure, pass(a) :: d_scal => psb_d_base_scal
generic, public :: scal => d_scals, d_scal
procedure, pass(a) :: maxval => psb_d_base_maxval
procedure, pass(a) :: csnmi => psb_d_base_csnmi
procedure, pass(a) :: csnm1 => psb_d_base_csnm1
procedure, pass(a) :: rowsum => psb_d_base_rowsum
procedure, pass(a) :: arwsum => psb_d_base_arwsum
procedure, pass(a) :: colsum => psb_d_base_colsum
procedure, pass(a) :: aclsum => psb_d_base_aclsum
end type psb_d_base_sparse_mat
private :: d_base_cp_from, d_base_mv_from
!> \namespace psb_base_mod \class psb_d_base_sparse_mat
!! \extends psb_base_mod::psb_base_sparse_mat
!!
!! psb_d_coo_sparse_mat type and the related methods. This is the
!! reference type for all the format transitions, copies and mv unless
!! methods are implemented that allow the direct transition from one
!! format to another. It is defined here since all other classes must
!! refer to it per the MEDIATOR design pattern.
!!
type, extends(psb_d_base_sparse_mat) :: psb_d_coo_sparse_mat
!> Number of nonzeros.
integer(psb_ipk_) :: nnz
!> Row indices.
integer(psb_ipk_), allocatable :: ia(:)
!> Column indices.
integer(psb_ipk_), allocatable :: ja(:)
!> Coefficient values.
real(psb_dpk_), allocatable :: val(:)
contains
!
! Data management methods.
!
procedure, pass(a) :: get_size => d_coo_get_size
procedure, pass(a) :: get_nzeros => d_coo_get_nzeros
procedure, nopass :: get_fmt => d_coo_get_fmt
procedure, pass(a) :: sizeof => d_coo_sizeof
procedure, pass(a) :: reallocate_nz => psb_d_coo_reallocate_nz
procedure, pass(a) :: allocate_mnnz => psb_d_coo_allocate_mnnz
procedure, pass(a) :: cp_to_coo => psb_d_cp_coo_to_coo
procedure, pass(a) :: cp_from_coo => psb_d_cp_coo_from_coo
procedure, pass(a) :: cp_to_fmt => psb_d_cp_coo_to_fmt
procedure, pass(a) :: cp_from_fmt => psb_d_cp_coo_from_fmt
procedure, pass(a) :: mv_to_coo => psb_d_mv_coo_to_coo
procedure, pass(a) :: mv_from_coo => psb_d_mv_coo_from_coo
procedure, pass(a) :: mv_to_fmt => psb_d_mv_coo_to_fmt
procedure, pass(a) :: mv_from_fmt => psb_d_mv_coo_from_fmt
procedure, pass(a) :: csput => psb_d_coo_csput
procedure, pass(a) :: get_diag => psb_d_coo_get_diag
procedure, pass(a) :: d_csgetrow => psb_d_coo_csgetrow
procedure, pass(a) :: csgetptn => psb_d_coo_csgetptn
procedure, pass(a) :: reinit => psb_d_coo_reinit
procedure, pass(a) :: get_nz_row => psb_d_coo_get_nz_row
procedure, pass(a) :: fix => psb_d_fix_coo
procedure, pass(a) :: trim => psb_d_coo_trim
procedure, pass(a) :: print => psb_d_coo_print
procedure, pass(a) :: free => d_coo_free
procedure, pass(a) :: mold => psb_d_coo_mold
procedure, pass(a) :: psb_d_coo_cp_from
generic, public :: cp_from => psb_d_coo_cp_from
procedure, pass(a) :: psb_d_coo_mv_from
generic, public :: mv_from => psb_d_coo_mv_from
!
! This is COO specific
!
procedure, pass(a) :: set_nzeros => d_coo_set_nzeros
!
! Transpose methods. These are the base of all
! indirection in transpose, together with conversions
! they are sufficient for all cases.
!
procedure, pass(a) :: transp_1mat => d_coo_transp_1mat
procedure, pass(a) :: transc_1mat => d_coo_transc_1mat
!
! Computational methods.
!
procedure, pass(a) :: d_csmm => psb_d_coo_csmm
procedure, pass(a) :: d_csmv => psb_d_coo_csmv
procedure, pass(a) :: d_inner_cssm => psb_d_coo_cssm
procedure, pass(a) :: d_inner_cssv => psb_d_coo_cssv
procedure, pass(a) :: d_scals => psb_d_coo_scals
procedure, pass(a) :: d_scal => psb_d_coo_scal
procedure, pass(a) :: maxval => psb_d_coo_maxval
procedure, pass(a) :: csnmi => psb_d_coo_csnmi
procedure, pass(a) :: csnm1 => psb_d_coo_csnm1
procedure, pass(a) :: rowsum => psb_d_coo_rowsum
procedure, pass(a) :: arwsum => psb_d_coo_arwsum
procedure, pass(a) :: colsum => psb_d_coo_colsum
procedure, pass(a) :: aclsum => psb_d_coo_aclsum
end type psb_d_coo_sparse_mat
private :: d_coo_get_nzeros, d_coo_set_nzeros, &
& d_coo_get_fmt, d_coo_free, d_coo_sizeof, &
& d_coo_transp_1mat, d_coo_transc_1mat
! == =================
!
! BASE interfaces
!
! == =================
!> Function csput:
!! \brief Insert coefficients.
!!
!!
!! Given a list of NZ triples
!! (IA(i),JA(i),VAL(i))
!! record a new coefficient in A such that
!! A(IA(1:nz),JA(1:nz)) = VAL(1:NZ).
!!
!! The internal components IA,JA,VAL are reallocated as necessary.
!! Constraints:
!! - If the matrix A is in the BUILD state, then the method will
!! only work for COO matrices, all other format will throw an error.
!! In this case coefficients are queued inside A for further processing.
!! - If the matrix A is in the UPDATE state, then it can be in any format;
!! the update operation will perform either
!! A(IA(1:nz),JA(1:nz)) = VAL(1:NZ)
!! or
!! A(IA(1:nz),JA(1:nz)) = A(IA(1:nz),JA(1:nz))+VAL(1:NZ)
!! according to the value of DUPLICATE.
!! - Coefficients with (IA(I),JA(I)) outside the ranges specified by
!! IMIN:IMAX,JMIN:JMAX will be ignored.
!!
!! \param nz number of triples in input
!! \param ia(:) the input row indices
!! \param ja(:) the input col indices
!! \param val(:) the input coefficients
!! \param imin minimum row index
!! \param imax maximum row index
!! \param jmin minimum col index
!! \param jmax maximum col index
!! \param info return code
!! \param gtl(:) [none] an array to renumber indices (iren(ia(:)),iren(ja(:))
!!
!
interface
subroutine psb_d_base_csput(nz,ia,ja,val,a,imin,imax,jmin,jmax,info,gtl)
import :: psb_ipk_, psb_d_base_sparse_mat, psb_dpk_
class(psb_d_base_sparse_mat), intent(inout) :: a
real(psb_dpk_), intent(in) :: val(:)
integer(psb_ipk_), intent(in) :: nz, ia(:), ja(:), imin,imax,jmin,jmax
integer(psb_ipk_), intent(out) :: info
integer(psb_ipk_), intent(in), optional :: gtl(:)
end subroutine psb_d_base_csput
end interface
!
!
!> Function csgetrow:
!! \brief Get a (subset of) row(s)
!!
!! getrow is the basic method by which the other (getblk, clip) can
!! be implemented.
!!
!! Returns the set
!! NZ, IA(1:nz), JA(1:nz), VAL(1:NZ)
!! each identifying the position of a nonzero in A
!! between row indices IMIN:IMAX;
!! IA,JA are reallocated as necessary.
!!
!! \param imin the minimum row index we are interested in
!! \param imax the minimum row index we are interested in
!! \param nz the number of output coefficients
!! \param ia(:) the output row indices
!! \param ja(:) the output col indices
!! \param val(:) the output coefficients
!! \param info return code
!! \param jmin [1] minimum col index
!! \param jmax [a\%get_ncols()] maximum col index
!! \param iren(:) [none] an array to return renumbered indices (iren(ia(:)),iren(ja(:))
!! \param rscale [false] map [min(ia(:)):max(ia(:))] onto [1:max(ia(:))-min(ia(:))+1]
!! \param cscale [false] map [min(ja(:)):max(ja(:))] onto [1:max(ja(:))-min(ja(:))+1]
!! ( iren cannot be specified with rscale/cscale)
!! \param append [false] append to ia,ja
!! \param nzin [none] if append, then first new entry should go in entry nzin+1
!!
!
interface
subroutine psb_d_base_csgetrow(imin,imax,a,nz,ia,ja,val,info,&
& jmin,jmax,iren,append,nzin,rscale,cscale)
import :: psb_ipk_, psb_d_base_sparse_mat, psb_dpk_
class(psb_d_base_sparse_mat), intent(in) :: a
integer(psb_ipk_), intent(in) :: imin,imax
integer(psb_ipk_), intent(out) :: nz
integer(psb_ipk_), allocatable, intent(inout) :: ia(:), ja(:)
real(psb_dpk_), allocatable, intent(inout) :: val(:)
integer(psb_ipk_),intent(out) :: info
logical, intent(in), optional :: append
integer(psb_ipk_), intent(in), optional :: iren(:)
integer(psb_ipk_), intent(in), optional :: jmin,jmax, nzin
logical, intent(in), optional :: rscale,cscale
end subroutine psb_d_base_csgetrow
end interface
!
!> Function csgetblk:
!! \brief Get a (subset of) row(s)
!!
!! getblk is very similar to getrow, except that the output
!! is packaged in a psb_d_coo_sparse_mat object
!!
!! \param imin the minimum row index we are interested in
!! \param imax the minimum row index we are interested in
!! \param b the output (sub)matrix
!! \param info return code
!! \param jmin [1] minimum col index
!! \param jmax [a\%get_ncols()] maximum col index
!! \param iren(:) [none] an array to return renumbered indices (iren(ia(:)),iren(ja(:))
!! \param rscale [false] map [min(ia(:)):max(ia(:))] onto [1:max(ia(:))-min(ia(:))+1]
!! \param cscale [false] map [min(ja(:)):max(ja(:))] onto [1:max(ja(:))-min(ja(:))+1]
!! ( iren cannot be specified with rscale/cscale)
!! \param append [false] append to ia,ja
!! \param nzin [none] if append, then first new entry should go in entry nzin+1
!!
!
interface
subroutine psb_d_base_csgetblk(imin,imax,a,b,info,&
& jmin,jmax,iren,append,rscale,cscale)
import :: psb_ipk_, psb_d_base_sparse_mat, psb_d_coo_sparse_mat, psb_dpk_
class(psb_d_base_sparse_mat), intent(in) :: a
class(psb_d_coo_sparse_mat), intent(inout) :: b
integer(psb_ipk_), intent(in) :: imin,imax
integer(psb_ipk_),intent(out) :: info
logical, intent(in), optional :: append
integer(psb_ipk_), intent(in), optional :: iren(:)
integer(psb_ipk_), intent(in), optional :: jmin,jmax
logical, intent(in), optional :: rscale,cscale
end subroutine psb_d_base_csgetblk
end interface
!
!
!> Function csclip:
!! \brief Get a submatrix.
!!
!! csclip is practically identical to getblk.
!! One of them has to go away.....
!!
!! \param b the output submatrix
!! \param info return code
!! \param imin [1] the minimum row index we are interested in
!! \param imax [a%get_nrows()] the minimum row index we are interested in
!! \param jmin [1] minimum col index
!! \param jmax [a\%get_ncols()] maximum col index
!! \param iren(:) [none] an array to return renumbered indices (iren(ia(:)),iren(ja(:))
!! \param rscale [false] map [min(ia(:)):max(ia(:))] onto [1:max(ia(:))-min(ia(:))+1]
!! \param cscale [false] map [min(ja(:)):max(ja(:))] onto [1:max(ja(:))-min(ja(:))+1]
!! ( iren cannot be specified with rscale/cscale)
!! \param append [false] append to ia,ja
!! \param nzin [none] if append, then first new entry should go in entry nzin+1
!!
!
interface
subroutine psb_d_base_csclip(a,b,info,&
& imin,imax,jmin,jmax,rscale,cscale)
import :: psb_ipk_, psb_d_base_sparse_mat, psb_d_coo_sparse_mat, psb_dpk_
class(psb_d_base_sparse_mat), intent(in) :: a
class(psb_d_coo_sparse_mat), intent(out) :: b
integer(psb_ipk_),intent(out) :: info
integer(psb_ipk_), intent(in), optional :: imin,imax,jmin,jmax
logical, intent(in), optional :: rscale,cscale
end subroutine psb_d_base_csclip
end interface
!
!> Function get_diag:
!! \brief Extract the diagonal of A.
!!
!! D(i) = A(i:i), i=1:min(nrows,ncols)
!!
!! \param d(:) The output diagonal
!! \param info return code.
!
interface
subroutine psb_d_base_get_diag(a,d,info)
import :: psb_ipk_, psb_d_base_sparse_mat, psb_dpk_
class(psb_d_base_sparse_mat), intent(in) :: a
real(psb_dpk_), intent(out) :: d(:)
integer(psb_ipk_), intent(out) :: info
end subroutine psb_d_base_get_diag
end interface
!
!> Function mold:
!! \brief Allocate a class(psb_d_base_sparse_mat) with the
!! same dynamic type as the input.
!! This is equivalent to allocate( mold= ) and is provided
!! for those compilers not yet supporting mold.
!! \param b The output variable
!! \param info return code
!
interface
subroutine psb_d_base_mold(a,b,info)
import :: psb_ipk_, psb_d_base_sparse_mat, psb_long_int_k_
class(psb_d_base_sparse_mat), intent(in) :: a
class(psb_d_base_sparse_mat), intent(out), allocatable :: b
integer(psb_ipk_), intent(out) :: info
end subroutine psb_d_base_mold
end interface
!
!> Function cp_to_coo:
!! \brief Copy and convert to psb_d_coo_sparse_mat
!! Invoked from the source object.
!! \param b The output variable
!! \param info return code
!
interface
subroutine psb_d_base_cp_to_coo(a,b,info)
import :: psb_ipk_, psb_d_base_sparse_mat, psb_d_coo_sparse_mat, psb_dpk_
class(psb_d_base_sparse_mat), intent(in) :: a
class(psb_d_coo_sparse_mat), intent(inout) :: b
integer(psb_ipk_), intent(out) :: info
end subroutine psb_d_base_cp_to_coo
end interface
!
!> Function cp_from_coo:
!! \brief Copy and convert from psb_d_coo_sparse_mat
!! Invoked from the target object.
!! \param b The input variable
!! \param info return code
!
interface
subroutine psb_d_base_cp_from_coo(a,b,info)
import :: psb_ipk_, psb_d_base_sparse_mat, psb_d_coo_sparse_mat, psb_dpk_
class(psb_d_base_sparse_mat), intent(inout) :: a
class(psb_d_coo_sparse_mat), intent(in) :: b
integer(psb_ipk_), intent(out) :: info
end subroutine psb_d_base_cp_from_coo
end interface
!
!> Function cp_to_fmt:
!! \brief Copy and convert to a class(psb_d_base_sparse_mat)
!! Invoked from the source object. Can be implemented by
!! simply invoking a%cp_to_coo(tmp) and then b%cp_from_coo(tmp).
!! \param b The output variable
!! \param info return code
!
interface
subroutine psb_d_base_cp_to_fmt(a,b,info)
import :: psb_ipk_, psb_d_base_sparse_mat, psb_dpk_
class(psb_d_base_sparse_mat), intent(in) :: a
class(psb_d_base_sparse_mat), intent(inout) :: b
integer(psb_ipk_), intent(out) :: info
end subroutine psb_d_base_cp_to_fmt
end interface
!
!> Function cp_from_fmt:
!! \brief Copy and convert from a class(psb_d_base_sparse_mat)
!! Invoked from the target object. Can be implemented by
!! simply invoking b%cp_to_coo(tmp) and then a%cp_from_coo(tmp).
!! \param b The output variable
!! \param info return code
!
interface
subroutine psb_d_base_cp_from_fmt(a,b,info)
import :: psb_ipk_, psb_d_base_sparse_mat, psb_dpk_
class(psb_d_base_sparse_mat), intent(inout) :: a
class(psb_d_base_sparse_mat), intent(in) :: b
integer(psb_ipk_), intent(out) :: info
end subroutine psb_d_base_cp_from_fmt
end interface
!
!> Function mv_to_coo:
!! \brief Convert to psb_d_coo_sparse_mat, freeing the source.
!! Invoked from the source object.
!! \param b The output variable
!! \param info return code
!
interface
subroutine psb_d_base_mv_to_coo(a,b,info)
import :: psb_ipk_, psb_d_base_sparse_mat, psb_d_coo_sparse_mat, psb_dpk_
class(psb_d_base_sparse_mat), intent(inout) :: a
class(psb_d_coo_sparse_mat), intent(inout) :: b
integer(psb_ipk_), intent(out) :: info
end subroutine psb_d_base_mv_to_coo
end interface
!
!> Function mv_from_coo:
!! \brief Convert from psb_d_coo_sparse_mat, freeing the source.
!! Invoked from the target object.
!! \param b The input variable
!! \param info return code
!
interface
subroutine psb_d_base_mv_from_coo(a,b,info)
import :: psb_ipk_, psb_d_base_sparse_mat, psb_d_coo_sparse_mat, psb_dpk_
class(psb_d_base_sparse_mat), intent(inout) :: a
class(psb_d_coo_sparse_mat), intent(inout) :: b
integer(psb_ipk_), intent(out) :: info
end subroutine psb_d_base_mv_from_coo
end interface
!
!> Function mv_to_fmt:
!! \brief Convert to a class(psb_d_base_sparse_mat), freeing the source.
!! Invoked from the source object. Can be implemented by
!! simply invoking a%mv_to_coo(tmp) and then b%mv_from_coo(tmp).
!! \param b The output variable
!! \param info return code
!
interface
subroutine psb_d_base_mv_to_fmt(a,b,info)
import :: psb_ipk_, psb_d_base_sparse_mat, psb_dpk_
class(psb_d_base_sparse_mat), intent(inout) :: a
class(psb_d_base_sparse_mat), intent(inout) :: b
integer(psb_ipk_), intent(out) :: info
end subroutine psb_d_base_mv_to_fmt
end interface
!
!> Function mv_from_fmt:
!! \brief Convert from a class(psb_d_base_sparse_mat), freeing the source.
!! Invoked from the target object. Can be implemented by
!! simply invoking b%mv_to_coo(tmp) and then a%mv_from_coo(tmp).
!! \param b The output variable
!! \param info return code
!
interface
subroutine psb_d_base_mv_from_fmt(a,b,info)
import :: psb_ipk_, psb_d_base_sparse_mat, psb_dpk_
class(psb_d_base_sparse_mat), intent(inout) :: a
class(psb_d_base_sparse_mat), intent(inout) :: b
integer(psb_ipk_), intent(out) :: info
end subroutine psb_d_base_mv_from_fmt
end interface
!
!> Function transp:
!! \brief Transpose. Can always be implemented by staging through a COO
!! temporary for which transpose is very easy.
!! Copyout version
!! \param b The output variable
!
interface
subroutine psb_d_base_transp_2mat(a,b)
import :: psb_ipk_, psb_d_base_sparse_mat, psb_base_sparse_mat, psb_dpk_
class(psb_d_base_sparse_mat), intent(in) :: a
class(psb_base_sparse_mat), intent(out) :: b
end subroutine psb_d_base_transp_2mat
end interface
!
!> Function transc:
!! \brief Conjugate Transpose. Can always be implemented by staging through a COO
!! temporary for which transpose is very easy.
!! Copyout version.
!! \param b The output variable
!
interface
subroutine psb_d_base_transc_2mat(a,b)
import :: psb_ipk_, psb_d_base_sparse_mat, psb_base_sparse_mat, psb_dpk_
class(psb_d_base_sparse_mat), intent(in) :: a
class(psb_base_sparse_mat), intent(out) :: b
end subroutine psb_d_base_transc_2mat
end interface
!
!> Function transp:
!! \brief Transpose. Can always be implemented by staging through a COO
!! temporary for which transpose is very easy.
!! In-place version.
!
interface
subroutine psb_d_base_transp_1mat(a)
import :: psb_ipk_, psb_d_base_sparse_mat, psb_dpk_
class(psb_d_base_sparse_mat), intent(inout) :: a
end subroutine psb_d_base_transp_1mat
end interface
!
!> Function transc:
!! \brief Conjugate Transpose. Can always be implemented by staging through a COO
!! temporary for which transpose is very easy.
!! In-place version.
!
interface
subroutine psb_d_base_transc_1mat(a)
import :: psb_ipk_, psb_d_base_sparse_mat, psb_dpk_
class(psb_d_base_sparse_mat), intent(inout) :: a
end subroutine psb_d_base_transc_1mat
end interface
!
! Matrix-vector products.
! Y = alpha*A*X + beta*Y
!
! vect_mv relies on csmv for those data types
! not specifically using the encapsulation to handle
! foreign data.
!
!
interface
subroutine psb_d_base_csmm(alpha,a,x,beta,y,info,trans)
import :: psb_ipk_, psb_d_base_sparse_mat, psb_dpk_
class(psb_d_base_sparse_mat), intent(in) :: a
real(psb_dpk_), intent(in) :: alpha, beta, x(:,:)
real(psb_dpk_), intent(inout) :: y(:,:)
integer(psb_ipk_), intent(out) :: info
character, optional, intent(in) :: trans
end subroutine psb_d_base_csmm
end interface
interface
subroutine psb_d_base_csmv(alpha,a,x,beta,y,info,trans)
import :: psb_ipk_, psb_d_base_sparse_mat, psb_dpk_
class(psb_d_base_sparse_mat), intent(in) :: a
real(psb_dpk_), intent(in) :: alpha, beta, x(:)
real(psb_dpk_), intent(inout) :: y(:)
integer(psb_ipk_), intent(out) :: info
character, optional, intent(in) :: trans
end subroutine psb_d_base_csmv
end interface
interface
subroutine psb_d_base_vect_mv(alpha,a,x,beta,y,info,trans)
import :: psb_ipk_, psb_d_base_sparse_mat, psb_dpk_, psb_d_base_vect_type
class(psb_d_base_sparse_mat), intent(in) :: a
real(psb_dpk_), intent(in) :: alpha, beta
class(psb_d_base_vect_type), intent(inout) :: x
class(psb_d_base_vect_type), intent(inout) :: y
integer(psb_ipk_), intent(out) :: info
character, optional, intent(in) :: trans
end subroutine psb_d_base_vect_mv
end interface
!
! Triangular system solve.
! The CSSM/CSSV/VECT_SV outer methods are implemented at the base
! level, and they take care of the SCALE and D control arguments.
! So the derived classes need to override only the INNER_ methods.
!
interface
subroutine psb_d_base_inner_cssm(alpha,a,x,beta,y,info,trans)
import :: psb_ipk_, psb_d_base_sparse_mat, psb_dpk_
class(psb_d_base_sparse_mat), intent(in) :: a
real(psb_dpk_), intent(in) :: alpha, beta, x(:,:)
real(psb_dpk_), intent(inout) :: y(:,:)
integer(psb_ipk_), intent(out) :: info
character, optional, intent(in) :: trans
end subroutine psb_d_base_inner_cssm
end interface
interface
subroutine psb_d_base_inner_cssv(alpha,a,x,beta,y,info,trans)
import :: psb_ipk_, psb_d_base_sparse_mat, psb_dpk_
class(psb_d_base_sparse_mat), intent(in) :: a
real(psb_dpk_), intent(in) :: alpha, beta, x(:)
real(psb_dpk_), intent(inout) :: y(:)
integer(psb_ipk_), intent(out) :: info
character, optional, intent(in) :: trans
end subroutine psb_d_base_inner_cssv
end interface
interface
subroutine psb_d_base_inner_vect_sv(alpha,a,x,beta,y,info,trans)
import :: psb_ipk_, psb_d_base_sparse_mat, psb_dpk_, psb_d_base_vect_type
class(psb_d_base_sparse_mat), intent(in) :: a
real(psb_dpk_), intent(in) :: alpha, beta
class(psb_d_base_vect_type), intent(inout) :: x, y
integer(psb_ipk_), intent(out) :: info
character, optional, intent(in) :: trans
end subroutine psb_d_base_inner_vect_sv
end interface
interface
subroutine psb_d_base_cssm(alpha,a,x,beta,y,info,trans,scale,d)
import :: psb_ipk_, psb_d_base_sparse_mat, psb_dpk_
class(psb_d_base_sparse_mat), intent(in) :: a
real(psb_dpk_), intent(in) :: alpha, beta, x(:,:)
real(psb_dpk_), intent(inout) :: y(:,:)
integer(psb_ipk_), intent(out) :: info
character, optional, intent(in) :: trans, scale
real(psb_dpk_), intent(in), optional :: d(:)
end subroutine psb_d_base_cssm
end interface
interface
subroutine psb_d_base_cssv(alpha,a,x,beta,y,info,trans,scale,d)
import :: psb_ipk_, psb_d_base_sparse_mat, psb_dpk_
class(psb_d_base_sparse_mat), intent(in) :: a
real(psb_dpk_), intent(in) :: alpha, beta, x(:)
real(psb_dpk_), intent(inout) :: y(:)
integer(psb_ipk_), intent(out) :: info
character, optional, intent(in) :: trans, scale
real(psb_dpk_), intent(in), optional :: d(:)
end subroutine psb_d_base_cssv
end interface
interface
subroutine psb_d_base_vect_cssv(alpha,a,x,beta,y,info,trans,scale,d)
import :: psb_ipk_, psb_d_base_sparse_mat, psb_dpk_,psb_d_base_vect_type
class(psb_d_base_sparse_mat), intent(in) :: a
real(psb_dpk_), intent(in) :: alpha, beta
class(psb_d_base_vect_type), intent(inout) :: x,y
integer(psb_ipk_), intent(out) :: info
character, optional, intent(in) :: trans, scale
class(psb_d_base_vect_type), optional, intent(inout) :: d
end subroutine psb_d_base_vect_cssv
end interface
!
! Scale a matrix by a scalar or by a vector.
! Should we handle scale on the columns??
!
interface
subroutine psb_d_base_scals(d,a,info)
import :: psb_ipk_, psb_d_base_sparse_mat, psb_dpk_
class(psb_d_base_sparse_mat), intent(inout) :: a
real(psb_dpk_), intent(in) :: d
integer(psb_ipk_), intent(out) :: info
end subroutine psb_d_base_scals
end interface
interface
subroutine psb_d_base_scal(d,a,info,side)
import :: psb_ipk_, psb_d_base_sparse_mat, psb_dpk_
class(psb_d_base_sparse_mat), intent(inout) :: a
real(psb_dpk_), intent(in) :: d(:)
integer(psb_ipk_), intent(out) :: info
character, intent(in), optional :: side
end subroutine psb_d_base_scal
end interface
!
! Maximum coefficient absolute value norm
!
interface
function psb_d_base_maxval(a) result(res)
import :: psb_ipk_, psb_d_base_sparse_mat, psb_dpk_
class(psb_d_base_sparse_mat), intent(in) :: a
real(psb_dpk_) :: res
end function psb_d_base_maxval
end interface
!
! Operator infinity norm
!
interface
function psb_d_base_csnmi(a) result(res)
import :: psb_ipk_, psb_d_base_sparse_mat, psb_dpk_
class(psb_d_base_sparse_mat), intent(in) :: a
real(psb_dpk_) :: res
end function psb_d_base_csnmi
end interface
!
! Operator 1-norm
!
interface
function psb_d_base_csnm1(a) result(res)
import :: psb_ipk_, psb_d_base_sparse_mat, psb_dpk_
class(psb_d_base_sparse_mat), intent(in) :: a
real(psb_dpk_) :: res
end function psb_d_base_csnm1
end interface
!
! Compute sums along the rows, either
! natural or absolute value
!
interface
subroutine psb_d_base_rowsum(d,a)
import :: psb_ipk_, psb_d_base_sparse_mat, psb_dpk_
class(psb_d_base_sparse_mat), intent(in) :: a
real(psb_dpk_), intent(out) :: d(:)
end subroutine psb_d_base_rowsum
end interface
interface
subroutine psb_d_base_arwsum(d,a)
import :: psb_ipk_, psb_d_base_sparse_mat, psb_dpk_
class(psb_d_base_sparse_mat), intent(in) :: a
real(psb_dpk_), intent(out) :: d(:)
end subroutine psb_d_base_arwsum
end interface
!
! Compute sums along the columns, either
! natural or absolute value
!
interface
subroutine psb_d_base_colsum(d,a)
import :: psb_ipk_, psb_d_base_sparse_mat, psb_dpk_
class(psb_d_base_sparse_mat), intent(in) :: a
real(psb_dpk_), intent(out) :: d(:)
end subroutine psb_d_base_colsum
end interface
interface
subroutine psb_d_base_aclsum(d,a)
import :: psb_ipk_, psb_d_base_sparse_mat, psb_dpk_
class(psb_d_base_sparse_mat), intent(in) :: a
real(psb_dpk_), intent(out) :: d(:)
end subroutine psb_d_base_aclsum
end interface
! == ===============
!
! COO interfaces
!
! == ===============
!
!>
!! \see psb_base_mat_mod::psb_base_reallocate_nz
!
interface
subroutine psb_d_coo_reallocate_nz(nz,a)
import :: psb_ipk_, psb_d_coo_sparse_mat
integer(psb_ipk_), intent(in) :: nz
class(psb_d_coo_sparse_mat), intent(inout) :: a
end subroutine psb_d_coo_reallocate_nz
end interface
interface
subroutine psb_d_coo_reinit(a,clear)
import :: psb_ipk_, psb_d_coo_sparse_mat
class(psb_d_coo_sparse_mat), intent(inout) :: a
logical, intent(in), optional :: clear
end subroutine psb_d_coo_reinit
end interface
interface
subroutine psb_d_coo_trim(a)
import :: psb_ipk_, psb_d_coo_sparse_mat
class(psb_d_coo_sparse_mat), intent(inout) :: a
end subroutine psb_d_coo_trim
end interface
interface
subroutine psb_d_coo_allocate_mnnz(m,n,a,nz)
import :: psb_ipk_, psb_d_coo_sparse_mat
integer(psb_ipk_), intent(in) :: m,n
class(psb_d_coo_sparse_mat), intent(inout) :: a
integer(psb_ipk_), intent(in), optional :: nz
end subroutine psb_d_coo_allocate_mnnz
end interface
interface
subroutine psb_d_coo_mold(a,b,info)
import :: psb_ipk_, psb_d_coo_sparse_mat, psb_d_base_sparse_mat, psb_long_int_k_
class(psb_d_coo_sparse_mat), intent(in) :: a
class(psb_d_base_sparse_mat), intent(out), allocatable :: b
integer(psb_ipk_), intent(out) :: info
end subroutine psb_d_coo_mold
end interface
interface
subroutine psb_d_coo_print(iout,a,iv,head,ivr,ivc)
import :: psb_ipk_, psb_d_coo_sparse_mat
integer(psb_ipk_), intent(in) :: iout
class(psb_d_coo_sparse_mat), intent(in) :: a
integer(psb_ipk_), intent(in), optional :: iv(:)
character(len=*), optional :: head
integer(psb_ipk_), intent(in), optional :: ivr(:), ivc(:)
end subroutine psb_d_coo_print
end interface
interface
function psb_d_coo_get_nz_row(idx,a) result(res)
import :: psb_ipk_, psb_d_coo_sparse_mat
class(psb_d_coo_sparse_mat), intent(in) :: a
integer(psb_ipk_), intent(in) :: idx
integer(psb_ipk_) :: res
end function psb_d_coo_get_nz_row
end interface
!
! Fix: make sure that
! 1. The coefficients are sorted
! 2. Handle duplicates if necessary.
! Optional: IDIR: sort by rows or columns.
!
interface
subroutine psb_d_fix_coo_inner(nzin,dupl,ia,ja,val,nzout,info,idir)
import :: psb_ipk_, psb_dpk_
integer(psb_ipk_), intent(in) :: nzin,dupl
integer(psb_ipk_), intent(inout) :: ia(:), ja(:)
real(psb_dpk_), intent(inout) :: val(:)
integer(psb_ipk_), intent(out) :: nzout, info
integer(psb_ipk_), intent(in), optional :: idir
end subroutine psb_d_fix_coo_inner
end interface
interface
subroutine psb_d_fix_coo(a,info,idir)
import :: psb_ipk_, psb_d_coo_sparse_mat
class(psb_d_coo_sparse_mat), intent(inout) :: a
integer(psb_ipk_), intent(out) :: info
integer(psb_ipk_), intent(in), optional :: idir
end subroutine psb_d_fix_coo
end interface
interface
subroutine psb_d_cp_coo_to_coo(a,b,info)
import :: psb_ipk_, psb_d_coo_sparse_mat
class(psb_d_coo_sparse_mat), intent(in) :: a
class(psb_d_coo_sparse_mat), intent(inout) :: b
integer(psb_ipk_), intent(out) :: info
end subroutine psb_d_cp_coo_to_coo
end interface
interface
subroutine psb_d_cp_coo_from_coo(a,b,info)
import :: psb_ipk_, psb_d_coo_sparse_mat
class(psb_d_coo_sparse_mat), intent(inout) :: a
class(psb_d_coo_sparse_mat), intent(in) :: b
integer(psb_ipk_), intent(out) :: info
end subroutine psb_d_cp_coo_from_coo
end interface
interface
subroutine psb_d_cp_coo_to_fmt(a,b,info)
import :: psb_ipk_, psb_d_coo_sparse_mat, psb_d_base_sparse_mat
class(psb_d_coo_sparse_mat), intent(in) :: a
class(psb_d_base_sparse_mat), intent(inout) :: b
integer(psb_ipk_), intent(out) :: info
end subroutine psb_d_cp_coo_to_fmt
end interface
interface
subroutine psb_d_cp_coo_from_fmt(a,b,info)
import :: psb_ipk_, psb_d_coo_sparse_mat, psb_d_base_sparse_mat
class(psb_d_coo_sparse_mat), intent(inout) :: a
class(psb_d_base_sparse_mat), intent(in) :: b
integer(psb_ipk_), intent(out) :: info
end subroutine psb_d_cp_coo_from_fmt
end interface
interface
subroutine psb_d_mv_coo_to_coo(a,b,info)
import :: psb_ipk_, psb_d_coo_sparse_mat
class(psb_d_coo_sparse_mat), intent(inout) :: a
class(psb_d_coo_sparse_mat), intent(inout) :: b
integer(psb_ipk_), intent(out) :: info
end subroutine psb_d_mv_coo_to_coo
end interface
interface
subroutine psb_d_mv_coo_from_coo(a,b,info)
import :: psb_ipk_, psb_d_coo_sparse_mat
class(psb_d_coo_sparse_mat), intent(inout) :: a
class(psb_d_coo_sparse_mat), intent(inout) :: b
integer(psb_ipk_), intent(out) :: info
end subroutine psb_d_mv_coo_from_coo
end interface
interface
subroutine psb_d_mv_coo_to_fmt(a,b,info)
import :: psb_ipk_, psb_d_coo_sparse_mat, psb_d_base_sparse_mat
class(psb_d_coo_sparse_mat), intent(inout) :: a
class(psb_d_base_sparse_mat), intent(inout) :: b
integer(psb_ipk_), intent(out) :: info
end subroutine psb_d_mv_coo_to_fmt
end interface
interface
subroutine psb_d_mv_coo_from_fmt(a,b,info)
import :: psb_ipk_, psb_d_coo_sparse_mat, psb_d_base_sparse_mat
class(psb_d_coo_sparse_mat), intent(inout) :: a
class(psb_d_base_sparse_mat), intent(inout) :: b
integer(psb_ipk_), intent(out) :: info
end subroutine psb_d_mv_coo_from_fmt
end interface
interface
subroutine psb_d_coo_cp_from(a,b)
import :: psb_ipk_, psb_d_coo_sparse_mat, psb_dpk_
class(psb_d_coo_sparse_mat), intent(inout) :: a
type(psb_d_coo_sparse_mat), intent(in) :: b
end subroutine psb_d_coo_cp_from
end interface
interface
subroutine psb_d_coo_mv_from(a,b)
import :: psb_ipk_, psb_d_coo_sparse_mat, psb_dpk_
class(psb_d_coo_sparse_mat), intent(inout) :: a
type(psb_d_coo_sparse_mat), intent(inout) :: b
end subroutine psb_d_coo_mv_from
end interface
interface
subroutine psb_d_coo_csput(nz,ia,ja,val,a,imin,imax,jmin,jmax,info,gtl)
import :: psb_ipk_, psb_d_coo_sparse_mat, psb_dpk_
class(psb_d_coo_sparse_mat), intent(inout) :: a
real(psb_dpk_), intent(in) :: val(:)
integer(psb_ipk_), intent(in) :: nz,ia(:), ja(:),&
& imin,imax,jmin,jmax
integer(psb_ipk_), intent(out) :: info
integer(psb_ipk_), intent(in), optional :: gtl(:)
end subroutine psb_d_coo_csput
end interface
interface
subroutine psb_d_coo_csgetptn(imin,imax,a,nz,ia,ja,info,&
& jmin,jmax,iren,append,nzin,rscale,cscale)
import :: psb_ipk_, psb_d_coo_sparse_mat, psb_dpk_
class(psb_d_coo_sparse_mat), intent(in) :: a
integer(psb_ipk_), intent(in) :: imin,imax
integer(psb_ipk_), intent(out) :: nz
integer(psb_ipk_), allocatable, intent(inout) :: ia(:), ja(:)
integer(psb_ipk_),intent(out) :: info
logical, intent(in), optional :: append
integer(psb_ipk_), intent(in), optional :: iren(:)
integer(psb_ipk_), intent(in), optional :: jmin,jmax, nzin
logical, intent(in), optional :: rscale,cscale
end subroutine psb_d_coo_csgetptn
end interface
interface
subroutine psb_d_coo_csgetrow(imin,imax,a,nz,ia,ja,val,info,&
& jmin,jmax,iren,append,nzin,rscale,cscale)
import :: psb_ipk_, psb_d_coo_sparse_mat, psb_dpk_
class(psb_d_coo_sparse_mat), intent(in) :: a
integer(psb_ipk_), intent(in) :: imin,imax
integer(psb_ipk_), intent(out) :: nz
integer(psb_ipk_), allocatable, intent(inout) :: ia(:), ja(:)
real(psb_dpk_), allocatable, intent(inout) :: val(:)
integer(psb_ipk_),intent(out) :: info
logical, intent(in), optional :: append
integer(psb_ipk_), intent(in), optional :: iren(:)
integer(psb_ipk_), intent(in), optional :: jmin,jmax, nzin
logical, intent(in), optional :: rscale,cscale
end subroutine psb_d_coo_csgetrow
end interface
interface
subroutine psb_d_coo_cssv(alpha,a,x,beta,y,info,trans)
import :: psb_ipk_, psb_d_coo_sparse_mat, psb_dpk_
class(psb_d_coo_sparse_mat), intent(in) :: a
real(psb_dpk_), intent(in) :: alpha, beta, x(:)
real(psb_dpk_), intent(inout) :: y(:)
integer(psb_ipk_), intent(out) :: info
character, optional, intent(in) :: trans
end subroutine psb_d_coo_cssv
subroutine psb_d_coo_cssm(alpha,a,x,beta,y,info,trans)
import :: psb_ipk_, psb_d_coo_sparse_mat, psb_dpk_
class(psb_d_coo_sparse_mat), intent(in) :: a
real(psb_dpk_), intent(in) :: alpha, beta, x(:,:)
real(psb_dpk_), intent(inout) :: y(:,:)
integer(psb_ipk_), intent(out) :: info
character, optional, intent(in) :: trans
end subroutine psb_d_coo_cssm
end interface
interface
subroutine psb_d_coo_csmv(alpha,a,x,beta,y,info,trans)
import :: psb_ipk_, psb_d_coo_sparse_mat, psb_dpk_
class(psb_d_coo_sparse_mat), intent(in) :: a
real(psb_dpk_), intent(in) :: alpha, beta, x(:)
real(psb_dpk_), intent(inout) :: y(:)
integer(psb_ipk_), intent(out) :: info
character, optional, intent(in) :: trans
end subroutine psb_d_coo_csmv
subroutine psb_d_coo_csmm(alpha,a,x,beta,y,info,trans)
import :: psb_ipk_, psb_d_coo_sparse_mat, psb_dpk_
class(psb_d_coo_sparse_mat), intent(in) :: a
real(psb_dpk_), intent(in) :: alpha, beta, x(:,:)
real(psb_dpk_), intent(inout) :: y(:,:)
integer(psb_ipk_), intent(out) :: info
character, optional, intent(in) :: trans
end subroutine psb_d_coo_csmm
end interface
interface
function psb_d_coo_maxval(a) result(res)
import :: psb_ipk_, psb_d_coo_sparse_mat, psb_dpk_
class(psb_d_coo_sparse_mat), intent(in) :: a
real(psb_dpk_) :: res
end function psb_d_coo_maxval
end interface
interface
function psb_d_coo_csnmi(a) result(res)
import :: psb_ipk_, psb_d_coo_sparse_mat, psb_dpk_
class(psb_d_coo_sparse_mat), intent(in) :: a
real(psb_dpk_) :: res
end function psb_d_coo_csnmi
end interface
interface
function psb_d_coo_csnm1(a) result(res)
import :: psb_ipk_, psb_d_coo_sparse_mat, psb_dpk_
class(psb_d_coo_sparse_mat), intent(in) :: a
real(psb_dpk_) :: res
end function psb_d_coo_csnm1
end interface
interface
subroutine psb_d_coo_rowsum(d,a)
import :: psb_ipk_, psb_d_coo_sparse_mat, psb_dpk_
class(psb_d_coo_sparse_mat), intent(in) :: a
real(psb_dpk_), intent(out) :: d(:)
end subroutine psb_d_coo_rowsum
end interface
interface
subroutine psb_d_coo_arwsum(d,a)
import :: psb_ipk_, psb_d_coo_sparse_mat, psb_dpk_
class(psb_d_coo_sparse_mat), intent(in) :: a
real(psb_dpk_), intent(out) :: d(:)
end subroutine psb_d_coo_arwsum
end interface
interface
subroutine psb_d_coo_colsum(d,a)
import :: psb_ipk_, psb_d_coo_sparse_mat, psb_dpk_
class(psb_d_coo_sparse_mat), intent(in) :: a
real(psb_dpk_), intent(out) :: d(:)
end subroutine psb_d_coo_colsum
end interface
interface
subroutine psb_d_coo_aclsum(d,a)
import :: psb_ipk_, psb_d_coo_sparse_mat, psb_dpk_
class(psb_d_coo_sparse_mat), intent(in) :: a
real(psb_dpk_), intent(out) :: d(:)
end subroutine psb_d_coo_aclsum
end interface
interface
subroutine psb_d_coo_get_diag(a,d,info)
import :: psb_ipk_, psb_d_coo_sparse_mat, psb_dpk_
class(psb_d_coo_sparse_mat), intent(in) :: a
real(psb_dpk_), intent(out) :: d(:)
integer(psb_ipk_), intent(out) :: info
end subroutine psb_d_coo_get_diag
end interface
interface
subroutine psb_d_coo_scal(d,a,info,side)
import :: psb_ipk_, psb_d_coo_sparse_mat, psb_dpk_
class(psb_d_coo_sparse_mat), intent(inout) :: a
real(psb_dpk_), intent(in) :: d(:)
integer(psb_ipk_), intent(out) :: info
character, intent(in), optional :: side
end subroutine psb_d_coo_scal
end interface
interface
subroutine psb_d_coo_scals(d,a,info)
import :: psb_ipk_, psb_d_coo_sparse_mat, psb_dpk_
class(psb_d_coo_sparse_mat), intent(inout) :: a
real(psb_dpk_), intent(in) :: d
integer(psb_ipk_), intent(out) :: info
end subroutine psb_d_coo_scals
end interface
contains
subroutine d_base_mv_from(a,b)
implicit none
class(psb_d_base_sparse_mat), intent(out) :: a
type(psb_d_base_sparse_mat), intent(inout) :: b
! No new things here, very easy
call a%psb_base_sparse_mat%mv_from(b%psb_base_sparse_mat)
return
end subroutine d_base_mv_from
subroutine d_base_cp_from(a,b)
implicit none
class(psb_d_base_sparse_mat), intent(out) :: a
type(psb_d_base_sparse_mat), intent(in) :: b
! No new things here, very easy
call a%psb_base_sparse_mat%cp_from(b%psb_base_sparse_mat)
return
end subroutine d_base_cp_from
! == ==================================
!
!
!
! Getters
!
!
!
!
!
! == ==================================
function d_coo_sizeof(a) result(res)
implicit none
class(psb_d_coo_sparse_mat), intent(in) :: a
integer(psb_long_int_k_) :: res
res = 8 + 1
res = res + psb_sizeof_dp * size(a%val)
res = res + psb_sizeof_int * size(a%ia)
res = res + psb_sizeof_int * size(a%ja)
end function d_coo_sizeof
function d_coo_get_fmt() result(res)
implicit none
character(len=5) :: res
res = 'COO'
end function d_coo_get_fmt
function d_coo_get_size(a) result(res)
implicit none
class(psb_d_coo_sparse_mat), intent(in) :: a
integer(psb_ipk_) :: res
res = -1
if (allocated(a%ia)) res = size(a%ia)
if (allocated(a%ja)) then
if (res >= 0) then
res = min(res,size(a%ja))
else
res = size(a%ja)
end if
end if
if (allocated(a%val)) then
if (res >= 0) then
res = min(res,size(a%val))
else
res = size(a%val)
end if
end if
end function d_coo_get_size
function d_coo_get_nzeros(a) result(res)
implicit none
class(psb_d_coo_sparse_mat), intent(in) :: a
integer(psb_ipk_) :: res
res = a%nnz
end function d_coo_get_nzeros
! == ==================================
!
!
!
! Setters
!
!
!
!
!
!
! == ==================================
subroutine d_coo_set_nzeros(nz,a)
implicit none
integer(psb_ipk_), intent(in) :: nz
class(psb_d_coo_sparse_mat), intent(inout) :: a
a%nnz = nz
end subroutine d_coo_set_nzeros
! == ==================================
!
!
!
! Data management
!
!
!
!
!
! == ==================================
subroutine d_coo_free(a)
implicit none
class(psb_d_coo_sparse_mat), intent(inout) :: a
if (allocated(a%ia)) deallocate(a%ia)
if (allocated(a%ja)) deallocate(a%ja)
if (allocated(a%val)) deallocate(a%val)
call a%set_null()
call a%set_nrows(izero)
call a%set_ncols(izero)
call a%set_nzeros(izero)
return
end subroutine d_coo_free
! == ==================================
!
!
!
! Computational routines
!
!
!
!
!
!
! == ==================================
subroutine d_coo_transp_1mat(a)
implicit none
class(psb_d_coo_sparse_mat), intent(inout) :: a
integer(psb_ipk_), allocatable :: itemp(:)
integer(psb_ipk_) :: info
call a%psb_d_base_sparse_mat%psb_base_sparse_mat%transp()
call move_alloc(a%ia,itemp)
call move_alloc(a%ja,a%ia)
call move_alloc(itemp,a%ja)
call a%fix(info)
return
end subroutine d_coo_transp_1mat
subroutine d_coo_transc_1mat(a)
implicit none
class(psb_d_coo_sparse_mat), intent(inout) :: a
call a%transp()
! This will morph into conjg() for C and Z
! and into a no-op for S and D, so a conditional
! on a constant ought to take it out completely.
if (psb_d_is_complex_) a%val(:) = (a%val(:))
end subroutine d_coo_transc_1mat
end module psb_d_base_mat_mod