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Applied Numerical Linear Algebra

Hager William W.
Heftet / 2022 / Engelsk

Product details

ISBN
9781611976854
Published
2022-02-28
Publisher
Society for Industrial & Applied Mathematics,U.S.; Society for Industrial & Applied Mathematics,U.S.
Weight
776 gr
Age
P, 06
Language
Product language
Engelsk
Format
Product format
Heftet
Number of pages
424

Author
Hager William W.

Applied Numerical Linear Algebra

Hager William W.
Heftet / 2022 / Engelsk
Hager William W.
Heftet / 2022 / Engelsk
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<strong>William W. Hager</strong> 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.

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.
Read more
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.
Read more

Related products

<strong>William W. Hager</strong> 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.

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.
Read more
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.
Read more

Product details

ISBN
9781611976854
Published
2022-02-28
Publisher
Society for Industrial & Applied Mathematics,U.S.; Society for Industrial & Applied Mathematics,U.S.
Weight
776 gr
Age
P, 06
Language
Product language
Engelsk
Format
Product format
Heftet
Number of pages
424

Author
Hager William W.

Related products