Abstract
The eigenvalue problem is one of the most important problems in numerical linear algebra. Several public domain software libraries are available for solving it. In this work, a new petsc-based package is presented, which is intended to be an easy-to-use yet efficient object-oriented parallel framework for the solution of standard and generalised eigenproblems, either in real or complex arithmetic. The main objective is to allow the solution of real world problems in a straightforward way, especially in the case of large software projects. Topics. Numerical methods, parallel and distributed computing.
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Hernández, V., Román, J.E., Vidal, V. (2003). SLEPc: Scalable Library for Eigenvalue Problem Computations. In: Palma, J.M.L.M., Sousa, A.A., Dongarra, J., Hernández, V. (eds) High Performance Computing for Computational Science — VECPAR 2002. VECPAR 2002. Lecture Notes in Computer Science, vol 2565. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36569-9_25
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DOI: https://doi.org/10.1007/3-540-36569-9_25
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