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.

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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.
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.