Proposals:Sparse Linear Solvers

The Problem

ITK requires functionalities for solving large sparse linear systems.

The current solution obtained though VXL must be replaced because it relies internally on code whose Copyright is held by ACM, and is subject to a license that precludes commercial use.

Previous Review

Tom Vercauteren previously gathered the following list of options.

ITK_Release_4.0#3rd_Party_Libraries

Options

Comparative Table

Name	License	Size	Support Sparse	Language	Status
SuiteSparse	LGPL
TAUCS	MIT			C
SuperLU	BSD
Eigen	LGPL			C++
Boost Numeric Bindings
ARPACK++				C++
MUMPS
clapack				C

SuiteSparse

• License: LGPL
• Home: http://www.cise.ufl.edu/research/sparse/SuiteSparse

TAUCS

• License: MIT
• Home: http://code.google.com/p/taucs/

SuperLU

• License: BSD
• Home: http://crd.lbl.gov/~xiaoye/SuperLU/

Eigen

• License: LGPL
• Home: http://eigen.tuxfamily.org/index.php?title=Main_Page

MUMPS

• License:
• http://graal.ens-lyon.fr/MUMPS/

Boost Numeric Bindings

• License: seems to be BSD (but links to MUMPS, UMFPack, so better check with them directly)
• http://mathema.tician.de/software/boost-bindings

ARPACK++

• To solve eigen value problems
• License: ??
• http://www.ime.unicamp.br/~chico/arpack++/

clapack

• Dashboard: http://my.cdash.org/index.php?project=CLAPACK
• License:
• Source code release: http://www.netlib.org/clapack/clapack-3.2.1-CMAKE.tgz
• Home page: https://icl.eecs.utk.edu/
• Repository:
  • Closed to the public ??