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Analyzed over 1 year ago. based on code collected over 1 year ago.

Project Summary

LAPACK provides routines for solving systems of simultaneous linear equations, least-squares solutions of linear systems of equations, eigenvalue problems, and singular value problems. The associated matrix factorizations (LU, Cholesky, QR, SVD, Schur, generalized Schur) are also provided, as are related computations such as reordering of the Schur factorizations and estimating condition numbers. Dense and banded matrices are handled, but not general sparse matrices. In all areas, similar functionality is provided for real and complex matrices, in both single and double precision.

Note: Ohloh's statistics are not accurate. LAPACK has dozens of major contributors, but most do not use any form of source control. Contributions are merged by only a few people, and then only in bursts.

Tags

eigenvalue eigenvector floatingpoint fortran lapack linearalgebra linearsolve linearsystems math mathematics maths numerical qr singularvalue svd

BSD 3-clause "New" or "Revised" License
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These details are provided for information only. No information here is legal advice and should not be used as such.

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This Project has No vulnerabilities Reported Against it

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Languages

Languages?height=75&width=75
Fortran (Fixed-format)
55%
C
44%
6 Other
1%

30 Day Summary

Aug 3 2016 — Sep 2 2016

12 Month Summary

Sep 2 2015 — Sep 2 2016
  • 174 Commits
    Up + 95 (120%) from previous 12 months
  • 5 Contributors
    Up + 1 (25%) from previous 12 months

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5 users rate this project:
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