A Second Course in Linear Algebra

Nonfiction, Science & Nature, Mathematics, Algebra
Cover of the book A Second Course in Linear Algebra by Stephan Ramon Garcia, Roger A. Horn, Cambridge University Press
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Author: Stephan Ramon Garcia, Roger A. Horn ISBN: 9781108206457
Publisher: Cambridge University Press Publication: May 11, 2017
Imprint: Cambridge University Press Language: English
Author: Stephan Ramon Garcia, Roger A. Horn
ISBN: 9781108206457
Publisher: Cambridge University Press
Publication: May 11, 2017
Imprint: Cambridge University Press
Language: English

Linear algebra is a fundamental tool in many fields, including mathematics and statistics, computer science, economics, and the physical and biological sciences. This undergraduate textbook offers a complete second course in linear algebra, tailored to help students transition from basic theory to advanced topics and applications. Concise chapters promote a focused progression through essential ideas, and contain many examples and illustrative graphics. In addition, each chapter contains a bullet list summarising important concepts, and the book includes over 600 exercises to aid the reader's understanding. Topics are derived and discussed in detail, including the singular value decomposition, the Jordan canonical form, the spectral theorem, the QR factorization, normal matrices, Hermitian matrices (of interest to physics students), and positive definite matrices (of interest to statistics students).

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Linear algebra is a fundamental tool in many fields, including mathematics and statistics, computer science, economics, and the physical and biological sciences. This undergraduate textbook offers a complete second course in linear algebra, tailored to help students transition from basic theory to advanced topics and applications. Concise chapters promote a focused progression through essential ideas, and contain many examples and illustrative graphics. In addition, each chapter contains a bullet list summarising important concepts, and the book includes over 600 exercises to aid the reader's understanding. Topics are derived and discussed in detail, including the singular value decomposition, the Jordan canonical form, the spectral theorem, the QR factorization, normal matrices, Hermitian matrices (of interest to physics students), and positive definite matrices (of interest to statistics students).

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