9781107103818-1107103819-A Second Course in Linear Algebra (Cambridge Mathematical Textbooks)

A Second Course in Linear Algebra (Cambridge Mathematical Textbooks)

ISBN-13: 9781107103818
ISBN-10: 1107103819
Edition: 1
Author: Stephan Ramon Garcia, Roger A. Horn
Publication date: 2017
Publisher: Cambridge University Press
Format: Hardcover 442 pages
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Book details

ISBN-13: 9781107103818
ISBN-10: 1107103819
Edition: 1
Author: Stephan Ramon Garcia, Roger A. Horn
Publication date: 2017
Publisher: Cambridge University Press
Format: Hardcover 442 pages

Summary

A Second Course in Linear Algebra (Cambridge Mathematical Textbooks) (ISBN-13: 9781107103818 and ISBN-10: 1107103819), written by authors Stephan Ramon Garcia, Roger A. Horn, was published by Cambridge University Press in 2017. With an overall rating of 4.2 stars, it's a notable title among other Pure Mathematics (Mathematics) books. You can easily purchase or rent A Second Course in Linear Algebra (Cambridge Mathematical Textbooks) (Hardcover) from BooksRun, along with many other new and used Pure Mathematics books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $1.34.

Description

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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