Source: arpack Maintainer: Debian Science Maintainers Uploaders: Sylvestre Ledru Section: math Priority: optional Build-Depends: dpkg-dev (>= 1.22.5), debhelper-compat (= 13), gfortran, libblas-dev, liblapack-dev, mpi-default-dev, libeigen3-dev Standards-Version: 4.6.1 Vcs-Browser: https://salsa.debian.org/science-team/arpack Vcs-Git: https://salsa.debian.org/science-team/arpack.git Homepage: https://github.com/opencollab/arpack-ng Rules-Requires-Root: no Package: libarpack2t64 Provides: ${t64:Provides} Replaces: libarpack2 Breaks: libarpack2 (<< ${source:Version}) Architecture: any Multi-Arch: same Section: libs Depends: ${shlibs:Depends}, ${misc:Depends} Description: Fortran77 subroutines to solve large scale eigenvalue problems ARPACK software is capable of solving large scale symmetric, nonsymmetric, and generalized eigenproblems from significant application areas. The software is designed to compute a few (k) eigenvalues with user specified features such as those of largest real part or largest magnitude. Storage requirements are on the order of n*k locations. No auxiliary storage is required. A set of Schur basis vectors for the desired k-dimensional eigen-space is computed which is numerically orthogonal to working precision. Numerically accurate eigenvectors are available on request. . Important Features: . * Reverse Communication Interface. * Single and Double Precision Real Arithmetic Versions for Symmetric, Non-symmetric, * Standard or Generalized Problems. * Single and Double Precision Complex Arithmetic Versions for Standard or Generalized Problems. * Routines for Banded Matrices - Standard or Generalized Problems. * Routines for The Singular Value Decomposition. * Example driver routines that may be used as templates to implement numerous Shift-Invert strategies for all problem types, data types and precision. . This package contains the shared library. Package: libarpack2-dev Architecture: any Multi-Arch: same Section: libdevel Depends: libarpack2t64 (= ${binary:Version}), libblas-dev | libblas.so, liblapack-dev | liblapack.so, ${misc:Depends} Description: Fortran77 subroutines to solve large scale eigenvalue problems (development) ARPACK software is capable of solving large scale symmetric, nonsymmetric, and generalized eigenproblems from significant application areas. The software is designed to compute a few (k) eigenvalues with user specified features such as those of largest real part or largest magnitude. Storage requirements are on the order of n*k locations. No auxiliary storage is required. A set of Schur basis vectors for the desired k-dimensional eigen-space is computed which is numerically orthogonal to working precision. Numerically accurate eigenvectors are available on request. . This package contains the static libraries and the documentation for development with libarpack (including examples). Package: libparpack2t64 Provides: ${t64:Provides} Replaces: libparpack2 Breaks: libparpack2 (<< ${source:Version}) Architecture: any Multi-Arch: same Section: libs Depends: ${shlibs:Depends}, ${misc:Depends} Description: Parallel subroutines to solve large scale eigenvalue problems ARPACK software is capable of solving large scale symmetric, nonsymmetric, and generalized eigenproblems from significant application areas. The software is designed to compute a few (k) eigenvalues with user specified features such as those of largest real part or largest magnitude. Storage requirements are on the order of n*k locations. No auxiliary storage is required. A set of Schur basis vectors for the desired k-dimensional eigen-space is computed which is numerically orthogonal to working precision. Numerically accurate eigenvectors are available on request. . Important Features: . * Reverse Communication Interface. * Single and Double Precision Real Arithmetic Versions for Symmetric, Non-symmetric, * Standard or Generalized Problems. * Single and Double Precision Complex Arithmetic Versions for Standard or Generalized Problems. * Routines for Banded Matrices - Standard or Generalized Problems. * Routines for The Singular Value Decomposition. * Example driver routines that may be used as templates to implement numerous Shift-Invert strategies for all problem types, data types and precision. . This package provides parpack: the MPI implementation of arpack. . This package contains the shared library. Package: libparpack2-dev Architecture: any Multi-Arch: same Section: libdevel Depends: libparpack2t64 (= ${binary:Version}), libblas-dev | libblas.so, liblapack-dev | liblapack.so, mpi-default-dev, ${misc:Depends} Description: Parallel subroutines to solve large scale eigenvalue problems (development) ARPACK software is capable of solving large scale symmetric, nonsymmetric, and generalized eigenproblems from significant application areas. The software is designed to compute a few (k) eigenvalues with user specified features such as those of largest real part or largest magnitude. Storage requirements are on the order of n*k locations. No auxiliary storage is required. A set of Schur basis vectors for the desired k-dimensional eigen-space is computed which is numerically orthogonal to working precision. Numerically accurate eigenvectors are available on request. . This package contains the static libraries and the documentation for development with libparpack (including examples).