Ubuntu
sparskit package

sparskit 2.0.0-2 source package in Ubuntu

Changelog

sparskit (2.0.0-2) unstable; urgency=low

  * Bump Standards-Version to 3.9.2 (no changes necessary)
  * Bump compat level to 8
  * Added vcs fields
  * Updated email address
 -- Ubuntu Archive Auto-Sync <email address hidden>   Mon,  17 Oct 2011 15:35:56 +0000

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Uploaded by:
Ubuntu Archive Auto-Sync
Uploaded to:
Precise
Original maintainer:
Debian Science Team
Architectures:
any
Section:
libs
Urgency:
Low Urgency

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File Size SHA-256 Checksum
sparskit_2.0.0.orig.tar.gz 1.1 MiB decfa2fa4558161f1507aa0c5abdf5219bc7c4e003efa68bb1ec9590708c7298
sparskit_2.0.0-2.debian.tar.gz 4.0 KiB 566af466ff732d540b8f4a36638a6955877589a3d9e2bc8a501682c050ddb193
sparskit_2.0.0-2.dsc 1.4 KiB 651d890a60142089cf7160bfff8e83cb3d5c8840466853030c0e6b25825bb34d

Available diffs

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Binary packages built by this source

libsparskit-dev: A basic tool-kit for sparse matrix computations - devel

 SPARSKIT a basic tool-kit for sparse matrix computations. Sparskit is a general
 purpose FORTRAN-77 library for sparse matrix computations. It has been
 gathered over several years and includes some of the most useful tools for
 developing and implementing sparse matrix techniques, particularly for
 iterative solvers. If you need a simple routine for doing a sparse matrix
 operation (e.g., adding two sparse matrices, or reordering a sparse matrix) it
 is likely to be available in SPARSKIT. SPARSKIT also contains most of the
 iterative accelarators and a number of efficient preconditioners.

libsparskit2.0: A basic tool-kit for sparse matrix computations - runtime

 SPARSKIT a basic tool-kit for sparse matrix computations. Sparskit is a
 general purpose FORTRAN-77 library for sparse matrix computations. It has
 been gathered over several years and includes some of the most useful tools
 for developing and implementing sparse matrix techniques, particularly for
 iterative solvers. If you need a simple routine for doing a sparse matrix
 operation (e.g., adding two sparse matrices, or reordering a sparse matrix)
 it is likely to be available in SPARSKIT. SPARSKIT also contains most of
 the iterative accelarators and a number of efficient preconditioners.