Chapter 15: Linear algebra, mostly sparse
Abstract
If you have taken a basic linear algebra class, you know about square and rectangular matrices and things such as inverses and factorizations. In scientific computing inverting a matrix or computing a factorization is still important (actually, usually when you need to invert a matrix, it is for the purpose of solving a linear system, and there are better methods for that than inverting the matrix), but the nature of the matrices is often different.
Fields of Study & Subjects
Matrix Theory and Algorithms
Mathematical and Computational Methods
Parallel Computing and Optimization Techniques
Publication details
- Journal / source
- Society for Industrial and Applied Mathematics eBooks
- Pages
- 147–159
- Publication date
- 19 January 2026
- Language
- EN
- Document type
- Book chapter