9783319910406-331991040X-Applied Linear Algebra (Undergraduate Texts in Mathematics)

Applied Linear Algebra (Undergraduate Texts in Mathematics)

ISBN-13: 9783319910406
ISBN-10: 331991040X
Edition: 2nd ed. 2018
Author: Peter J. Olver, Chehrzad Shakiban
Publication date: 2018
Publisher: Springer
Format: Hardcover 704 pages
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Book details

ISBN-13: 9783319910406
ISBN-10: 331991040X
Edition: 2nd ed. 2018
Author: Peter J. Olver, Chehrzad Shakiban
Publication date: 2018
Publisher: Springer
Format: Hardcover 704 pages

Summary

Applied Linear Algebra (Undergraduate Texts in Mathematics) (ISBN-13: 9783319910406 and ISBN-10: 331991040X), written by authors Peter J. Olver, Chehrzad Shakiban, was published by Springer in 2018. With an overall rating of 4.3 stars, it's a notable title among other Applied (Mathematics) books. You can easily purchase or rent Applied Linear Algebra (Undergraduate Texts in Mathematics) (Hardcover, Used) from BooksRun, along with many other new and used Applied books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $14.71.

Description

This textbook develops the essential tools of linear algebra, with the goal of imparting technique alongside contextual understanding. Applications go hand-in-hand with theory, each reinforcing and explaining the other. This approach encourages students to develop not only the technical proficiency needed to go on to further study, but an appreciation for when, why, and how the tools of linear algebra can be used across modern applied mathematics.

Providing an extensive treatment of essential topics such as Gaussian elimination, inner products and norms, and eigenvalues and singular values, this text can be used for an in-depth first course, or an application-driven second course in linear algebra. In this second edition, applications have been updated and expanded to include numerical methods, dynamical systems, data analysis, and signal processing, while the pedagogical flow of the core material has been improved. Throughout, the text emphasizes the conceptual connections between each application and the underlying linear algebraic techniques, thereby enabling students not only to learn how to apply the mathematical tools in routine contexts, but also to understand what is required to adapt to unusual or emerging problems.

No previous knowledge of linear algebra is needed to approach this text, with single-variable calculus as the only formal prerequisite. However, the reader will need to draw upon some mathematical maturity to engage in the increasing abstraction inherent to the subject. Once equipped with the main tools and concepts from this book, students will be prepared for further study in differential equations, numerical analysis, data science and statistics, and a broad range of applications. The first author’s text, Introduction to Partial Differential Equations, is an ideal companion volume, forming a natural extension of the linear mathematical methods developed here.

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