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Project Summary

SLEPc, the Scalable Library for Eigenvalue Problem Computations, 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 linear eigenvalue problems in either standard or generalized form, with real or complex arithmetic. It can also be used for computing a partial SVD of a large, sparse, rectangular matrix, and to solve nonlinear eigenvalue problems (polynomial or general).

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eigenproblem hpc mpi numericalmethods parallelcomputing scientific_computing simulation

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This Project has No vulnerabilities Reported Against it

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30 Day Summary

Feb 20 2018 — Mar 22 2018

12 Month Summary

Mar 22 2017 — Mar 22 2018
  • 554 Commits
    Down -160 (22%) from previous 12 months
  • 5 Contributors
    Down -4 (44%) from previous 12 months