SLEPc is a software library for the solution of large scale sparse eigenvalue problems on parallel computers. It is an extension of PETSc and can be used for either standard or generalized eigenproblems, with real or complex arithmetic. It can also be used for computing a partial singular value decomposition of a large, sparse, rectangular matrix.
slepc4py are Python bindings for SLEPc, the Scalable Library for Eigenvalue Problem Computations.
This project depends on:
petsc4py: Python bindings for PETSc, the Portable, Extensible Toolkit for Scientific Computation. A good friend of slepc4py is:
mpi4py: Python bindings for MPI, the Message Passing Interface. A related project is:
tao4py: Python bindings for TAO, the Toolkit for Advanced Optimization.
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