Category:Numerical linear algebra
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Numerical linear algebra is the intersection of numerical analysis and linear algebra: its purpose is the design and analysis of algorithms for the numerical solution of matrix problems. The most important problems are the solution of a system of linear equations and the determination of eigenvalues.
Subcategories
This category has the following 7 subcategories, out of 7 total.
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Pages in category "Numerical linear algebra"
The following 122 pages are in this category, out of 122 total.
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- Samuelson–Berkowitz algorithm
- SequenceL
- Singular value decomposition
- SLEPc
- Sparse approximation
- Speakeasy (computational environment)
- SPIKE algorithm
- Stein-Rosenberg theorem
- Stieltjes matrix
- Stone's method
- Successive over-relaxation
- Symbolic Cholesky decomposition
- Symmetric successive over-relaxation
- System of linear equations
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