SUMMARY
This discussion focuses on finding optimized C programs for calculating eigenvalues of real non-symmetric matrices. Users express a need for alternatives to the Numerical Recipes resource due to licensing concerns. The GNU Scientific Library (GSL) is recommended as a viable option for obtaining such algorithms. The conversation highlights the importance of open-source libraries in computational mathematics.
PREREQUISITES
- Understanding of eigenvalues and eigenvectors in linear algebra
- Familiarity with C programming language
- Knowledge of numerical methods for matrix computations
- Awareness of licensing issues related to software libraries
NEXT STEPS
- Explore the GNU Scientific Library (GSL) for eigenvalue algorithms
- Research alternative libraries for numerical computations in C
- Learn about the implementation of eigenvalue algorithms in C
- Investigate licensing implications of using various scientific libraries
USEFUL FOR
Mathematicians, software developers, and researchers working with numerical methods and linear algebra, particularly those seeking open-source solutions for eigenvalue computations.