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Analyzed 5 months ago. based on code collected 5 months 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.

Project Security

Vulnerabilities per Version ( last 10 releases )

Project Vulnerability Report

Security Confidence Index

Poor security track-record
Favorable security track-record

Vulnerability Exposure Index

Many reported vulnerabilities
Few reported vulnerabilities

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About Project Security

 Code locations have been removed since last analysis

At one point, Open Hub analyzed source code for this project based on code location(s) available at that time. Since then, the code locations have been removed.

Languages

Fortran (Fixed-format)
53%
C
44%
9 Other
3%

30 Day Summary

May 24 2022 — Jun 23 2022

12 Month Summary

Jun 23 2021 — Jun 23 2022

Ratings

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