Large-scale eigen solver package for Fortran?

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SUMMARY

The discussion focuses on the need for large-scale eigen solver packages implemented in Fortran, specifically highlighting methods such as simultaneous, subspace, Ritz vectors, and Lanczos. The recommended starting point for users is the LAPACK library, which is a well-established tool for linear algebra operations, including eigenvalue problems. Users are encouraged to explore LAPACK for its comprehensive capabilities in handling large-scale eigen problems efficiently.

PREREQUISITES
  • Familiarity with Fortran programming language
  • Understanding of eigenvalue problems and linear algebra concepts
  • Knowledge of numerical methods for solving eigenvalue problems
  • Basic understanding of LAPACK library and its functionalities
NEXT STEPS
  • Explore LAPACK documentation for eigenvalue problem solutions
  • Research the implementation of Lanczos method in numerical libraries
  • Investigate subspace methods for large-scale eigenvalue problems
  • Learn about Ritz vectors and their applications in eigenvalue computations
USEFUL FOR

Researchers, numerical analysts, and software developers working with large-scale eigenvalue problems in Fortran, particularly those seeking efficient solver packages for advanced linear algebra applications.

Ronankeating
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Dear All,


I would like to know what type of solver packages can be used for solving the Large scale eigen problems, implemented in the Fortran language. Especially the simultaneous, subspace, ritz vectors, Lanczos etc.. methods is a must in the package. Does any of you aware of such packages ?

Your entry point will be appreciated?

Regards,
 
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