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This textbook introduces the theory and practical algorithms of numerical linear algebra, with a focus on matrix factorizations and their applications in scientific computing. Topics include solving systems of linear equations, least-squares problems, eigenvalue computations, numerical stability, and matrix decomposition methods such as LU, QR, Cholesky, and Singular Value Decomposition (SVD). The book emphasizes both mathematical foundations and computational implementation.

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245: $a: Numerical Linear Algebra and Matrix Factorizations
245: $b:
082: $a:
100: $a: Tom Lyche
650: $a: Mathematics
250: $a:
440: $v:
250: $b: Springer Nature Switzerland
250: $c: 2020
020: $a: 978-3-030-36468-7
300: $a: 376