Pysparse documentation

Release:1.0 Date:March 10, 2016

• Introduction
  • Module Overview
  • Prerequisites
  • Installing Pysparse
  • Testing Pysparse
  • Generating the Documentation
• Sparse Matrix Formats
  • Linked-List Format
  • Compressed Sparse Row Format
  • Sparse Skyline Format
• Low-Level Sparse Matrix Types
  • The spmatrix Module
  • Example: 2D-Poisson matrix
  • Vectorization
  • Matlab Implementation
  • Comparison with Matlab
• Preconditioners
  • The precon Module
• Iterative Solvers
  • The itsolvers Module
• Direct Solvers
  • The Low-Level C Modules
  • Higher-Level Python Interfaces
• Eigenvalue Solver
  • The jdsym Module
• Higher-Level Sparse Matrix Classes
  • The pysparseMatrix module
• Other Sparse Matrix Packages
• License

Parts of this documentation are scavenged from Roman Geus’ original Pysparse website.

Some pages of this documentation display equations via the jsMath package. They should look reasonably good with most setups but the best rendering is obtained by installing the TeX fonts. Please refer to http://www.math.union.edu/~dpvc/jsMath/users/welcome.html.

TODO List

Todo

Update the timings below.

(The original entry is located in /usr/src/packages/BUILD/pysparse-1.2-dev224/doc/pysparse/source/itsolvers.rst, line 162.)

Todo

Update the timings below.

(The original entry is located in /usr/src/packages/BUILD/pysparse-1.2-dev224/doc/pysparse/source/jdsym.rst, line 106.)

Indices and Tables

• Index
• Module Index
• Search Page