lib64cxsparse2.2.5 - Library of direct methods for sparse linear systems

Distribution: ROSA Enterprise Desktop
Repository: ROSA Contrib Updates x86_64
Package name: lib64cxsparse2.2.5
Package version: 2.2.5
Package release: 1-rosa.lts2012.0
Package architecture: x86_64
Package type: rpm
Installed size: 172.86 KB
Download size: 57.00 KB
Official Mirror:
CSparse is a package of direct methods for sparse linear systems written to complement the book "Direct Methods for Sparse Linear Systems", by Timothy A. Davis. The algorithms in CSparse have been chosen with five goals in mind: (1) they must embody much of the theory behind sparse matrix algorithms, (2) they must be either asymptotically optimal in their run time and memory usage or be fast in practice, (3) they must be concise so as to be easily understood and short enough to print in the book, (4) they must cover a wide spectrum of matrix operations, and (5) they must be accurate and robust. The focus is on direct methods; iterative methods and solvers for eigenvalue problems are beyond the scope of this package. CXSparse is a version of CSparse that operates on both real and complex matrices, using either int or UF_long integers. This package contains the library needed to run programs dynamically linked against CXSparse.



  • lib64cxsparse2.2.5 == 0:2.2.5-1
  • lib64cxsparse2.2.5 == 0:2.2.5-1:2012.0


  • lib64cxsparse2
  • lib64cxsparse2.2.1

    Install Howto

    1. Enable ROSA Contrib Updates repository on Install and Remove Software"
    2. Update packages list:
      # urpmi.update -a
    3. Install lib64cxsparse2.2.5 rpm package:
      # urpmi lib64cxsparse2.2.5


    • /usr/lib64/


    2011-03-07 - Lev Givon <> 0:2.2.5-1mdv2011.0 + Revision: 642666 - Update to 2.2.5.

    2010-12-05 - Oden Eriksson <> 0:2.2.3-2mdv2011.0 + Revision: 610185 - rebuild

    2009-12-23 - Lev Givon <> 0:2.2.3-1mdv2010.1 + Revision: 481804 - Update to 2.2.3.

    2009-09-10 - Thierry Vignaud <> 0:2.2.2-5mdv2010.0 + Revision: 437217 - rebuild