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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, and supplemental material available at This textbook is appropriate for junior and senior undergraduate students and beginning graduate students in the following 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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