!!$ !!$ Parallel Sparse BLAS version 2.2 !!$ (C) Copyright 2006/2007/2008 !!$ Salvatore Filippone University of Rome Tor Vergata !!$ Alfredo Buttari University of Rome Tor Vergata !!$ !!$ 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. !!$ !!$ ! File: psb_dnrmi.f90 ! ! Function: psb_dnrmi ! Forms the approximated norm of a sparse matrix, ! ! normi := max(abs(sum(A(i,j)))) ! ! Arguments: ! a - type(psb_dspmat_type). The sparse matrix containing A. ! desc_a - type(psb_desc_type). The communication descriptor. ! info - integer. Return code ! function psb_dnrmi(a,desc_a,info) use psb_descriptor_type use psb_serial_mod use psb_check_mod use psb_error_mod use psb_penv_mod use psb_mat_mod implicit none type(psb_d_sparse_mat), intent(in) :: a integer, intent(out) :: info type(psb_desc_type), intent(in) :: desc_a real(psb_dpk_) :: psb_dnrmi ! locals integer :: ictxt, np, me,& & err_act, n, iia, jja, ia, ja, mdim, ndim, m real(psb_dpk_) :: nrmi character(len=20) :: name, ch_err name='psb_dnrmi' if(psb_get_errstatus() /= 0) return info=psb_success_ call psb_erractionsave(err_act) ictxt=psb_cd_get_context(desc_a) call psb_info(ictxt, me, np) if (np == -1) then info = psb_err_blacs_error_ call psb_errpush(info,name) goto 9999 endif ia = 1 ja = 1 m = psb_cd_get_global_rows(desc_a) n = psb_cd_get_global_cols(desc_a) call psb_chkmat(m,n,ia,ja,desc_a,info,iia,jja) if(info /= psb_success_) then info=psb_err_from_subroutine_ ch_err='psb_chkmat' call psb_errpush(info,name,a_err=ch_err) goto 9999 end if if ((iia /= 1).or.(jja /= 1)) then info=psb_err_ix_n1_iy_n1_unsupported_ call psb_errpush(info,name) goto 9999 end if if ((m /= 0).and.(n /= 0)) then nrmi = a%csnmi() if(info /= psb_success_) then info=psb_err_from_subroutine_ ch_err='psb_csnmi' call psb_errpush(info,name,a_err=ch_err) goto 9999 end if else nrmi = 0.d0 end if ! compute global max call psb_amx(ictxt, nrmi) psb_dnrmi = nrmi call psb_erractionrestore(err_act) return 9999 continue call psb_erractionrestore(err_act) if (err_act == psb_act_abort_) then call psb_error(ictxt) return end if return end function psb_dnrmi