Numerical Linear Algebra for Applications in Statistics

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This book on numerical linear algebra is essential for statistical computing, detailing algorithms for matrix factorization, solving equations, and eigenvalue extraction. It covers foundational topics in linear algebra and includes exercises, making it suitable for introductory courses or as supplementary material. Authored by James Gentle, a notable expert in the field.