PySparse - a Sparse Matrix Library for Python

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PySparse extends the Python interpreter by a set of sparse matrix types holding double precision values. PySparse also includes modules that implement

• iterative methods for solving linear systems of equations
• a set of standard preconditioners
• an interface to a direct solver for sparse linear systems of equations (SuperLU)
• a Jacobi-Davidson eigenvalue solver for the symmetric, generalised matrix eigenvalue problem (JDSYM)

All these modules are implemented as C extension modules for maximum performance.

PySparse uses Numerical Python (NumPy) for handling dense vectors and matrices and makes use of SuperLU for factorising sparse matrices.