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Fortran77 subroutines designed to solve large scale eigenvalue problems

Installers

  • linux-64 v3.9.0
  • linux-aarch64 v3.9.0
  • linux-s390x v3.9.0
  • osx-64 v3.9.0
  • osx-arm64 v3.9.0
  • win-64 v3.9.0

conda install

To install this package run one of the following:
conda install anaconda::arpack

Description

ARPACK (ARnoldi PACKage) is a software library for solving large-scale eigenvalue problems, particularly those arising from sparse matrices. It provides efficient algorithms for computing a few eigenvalues and corresponding eigenvectors of a large, sparse, and possibly non-Hermitian matrix. ARPACK offers a range of methods, including the Arnoldi iteration, Lanczos iteration, and implicitly restarted Arnoldi method, to approximate eigenvalues and eigenvectors.


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