Source: pysparse
Maintainer: Debian Science Maintainers
Uploaders: Adam C. Powell, IV
Section: python
Priority: optional
Build-Depends: debhelper (>= 11~),
dh-python,
quilt,
python-all-dev,
python-numpy,
gfortran,
libblas-dev | libblas.so,
liblapack-dev | liblapack.so,
libsuitesparse-dev,
libsuperlu-dev
Standards-Version: 4.1.4
Vcs-Browser: https://salsa.debian.org/science-team/pysparse
Vcs-Git: https://salsa.debian.org/science-team/pysparse.git
Homepage: http://pysparse.sourceforge.net/
Package: python-sparse
Architecture: any
Depends: python-numpy,
${python:Depends},
${shlibs:Depends},
${misc:Depends}
Suggests: python-sparse-examples
Provides: ${python:Provides}
Description: Sparse linear algebra extension for Python
This provides a set of sparse matrix types for Python, with modules which
implement:
- Iterative methods for solving linear systems of equations
- A set of standard preconditioners
- An interface to a direct solver for sparse linear systems of equations
- The JDSYM eigensolver
.
All of these modules are implemented as C extension modules based on standard
sparse and dense matrix libraries (UMFPACK/AMD, SuperLU, BLAS/LAPACK) for
maximum performance and robustness.
Package: python-sparse-examples
Architecture: all
Depends: ${python:Depends},
python-sparse (>= ${binary:Version}),
${misc:Depends}
Description: Sparse linear algebra extension for Python: documentation
This package provides documents and examples for python-sparse, a set of
sparse matrix types for Python, with modules which implement:
- Iterative methods for solving linear systems of equations
- A set of standard preconditioners
- An interface to a direct solver for sparse linear systems of equations
- The JDSYM eigensolver
.
All of these modules are implemented as C extension modules based on standard
sparse and dense matrix libraries (UMFPACK/AMD, SuperLU, BLAS/LAPACK) for
maximum performance.