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Applied Numerical Linear Algebra (Classics in Applied Mathematics)

Applied Mathematics

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Product Description Applied Numerical Linear Algebra introduces students to numerical issues that arise in linear algebra and its applications. A wide range of techniques are touched on, including direct to iterative methods, orthogonal factorizations, least squares, eigenproblems, and nonlinear equations.Inside Applied Numerical Linear Algebra, readers will find:Clear and detailed explanations on a wide range of topics from condition numbers to the singular value decomposition.Material on nonlinear systems as well as linear systems.Frequent illustrations using discretizations of boundary-value problems or demonstrating other concepts.Exercises with detailed solutions at the end of the book.Supplemental material available at https://bookstore.siam.org/cl87/bonus.This textbook is appropriate for junior and senior undergraduate students and beginning graduate students in the following courses: Advanced Numerical Analysis, Special Topics on Numerical Analysis, Topics on Data Science, Topics on Numerical Optimization, and Topics on Approximation Theory. Review William W. Hager is a Distinguished Professor of Mathematics at the University of Florida and co-director of the Center for Applied Optimization. He is a Fellow of the Society for Industrial and Applied Mathematics, and members of both the Mathematical Optimization Society and the American Geophysical Union. His research has focused on convergence analysis for algorithms in optimal control, the development of algorithms for solving large, sparse optimization problems including his dual active set algorithm, and related update/downdate techniques for sparse Cholesky factorizations that arise in active set methods.

Product Specifications

Format: Paperback
ASIN: 1611976855
Category: Books > Subjects > Science, Nature & Maths > Mathematics > Applied Mathematics
Domain: Amazon UK
Release Date: 28 February 2022
Listed Since: 27 September 2021

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Applied Numerical Linear Algebra (Classics in Applied Mathematics)

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