pyamg

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Project description

PyAMG: Algebraic Multigrid Solvers in Python

PyAMG is a library of Algebraic Multigrid (AMG) solvers with a convenient Python interface.

PyAMG features implementations of:

Ruge-Stuben (RS) or Classical AMG
AMG based on Smoothed Aggregation (SA)
Adaptive Smoothed Aggregation (αSA)
Compatible Relaxation (CR)
Krylov methods such as CG, GMRES, FGMRES, BiCGStab, MINRES, etc

PyAMG is primarily written in Python with supporting C++ code for performance critical operations.

Project details

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This version

4.0.0

Aug 4, 2018

3.3.3a1 pre-release

Jul 27, 2018

3.3.2

Oct 27, 2017

3.3.0

Jul 10, 2017

3.2.1

Dec 13, 2016

3.2.0

Dec 9, 2016

3.1.1

Nov 11, 2016

3.1.0

Nov 8, 2016

3.0.2

Dec 14, 2015

3.0.1

Nov 22, 2015

3.0.0

Nov 21, 2015

2.3.2

Nov 10, 2015

2.2.1

Feb 14, 2015

2.2.0

Jan 19, 2015

2.1.0

Jul 29, 2013

1.0.0

Mar 5, 2009

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Files for pyamg, version 4.0.0
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