Applied numerical linear algebra
著者
書誌事項
Applied numerical linear algebra
（Classics in applied mathematics, 87）
Society for Industrial and Applied Mathematics, [2021] c2022
- : pbk
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注記
Summary: "This textbook is accessible to juniors, seniors, and first year graduate students"-- Provided by publisher
Includes bibliographical references and index
内容説明・目次
内容説明
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.
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