Numerical Linear Algebra and Matrix Factorizations
After reading this book, students should be able to analyze computational problems in linear algebra such as linear systems, least squares- and eigenvalue problems, and to develop their own algorithms for solving them. Since these problems can be large and difficult to handle, much can be gained by...
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| Format: | eBook |
| Language: | English |
| Published: |
Cham
Springer International Publishing
2020, 2020
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| Edition: | 1st ed. 2020 |
| Series: | Texts in Computational Science and Engineering
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| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- A Short Review of Linear Algebra
- LU and QR Factorizations
- Eigenpairs and Singular Values
- Matrix Norms and Least Squares
- Kronecker Products and Fourier Transforms
- Iterative Methods for Large Linear Systems
- Eigenvalues and Eigenvectors
- Index