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Applied Linear Algebra and Matrix Analysis

  • Textbook
  • © 2018

Overview

  • Emphasizes linear algebra as an experimental science with a variety of modern applications
  • Develops students’ analytical writing with report projects that require descriptive precision
  • Explores applications of linear algebra to contemporary topics in technology, like Google PageRank
  • Includes supplementary material: sn.pub/extras

Part of the book series: Undergraduate Texts in Mathematics (UTM)

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Table of contents (6 chapters)

Keywords

About this book

In its second edition, this textbook offers a fresh approach to matrix and linear algebra. Its blend of theory, computational exercises, and analytical writing projects is designed to highlight the interplay between these aspects of an application. This approach places special emphasis on linear algebra as an experimental science that provides tools for solving concrete problems.

The second edition’s revised text discusses applications of linear algebra like graph theory and network modeling methods used in Google’s PageRank algorithm. Other new materials include modeling examples of diffusive processes, linear programming, image processing, digital signal processing, and Fourier analysis. These topics are woven into the core material of Gaussian elimination and other matrix operations; eigenvalues, eigenvectors, and discrete dynamical systems; and the geometrical aspects of vector spaces.

Intended for a one-semester undergraduate course without a strict calculus prerequisite, Applied Linear Algebra and Matrix Analysis augments the key elements of linear algebra with a wide choice of optional sections. With the book’s selection of applications and platform-independent assignments, instructors can tailor the curriculum to suit specific interests and ensure students across various disciplines are equipped with the powerful tools of linear algebra.


Reviews

“The book could be the basis of a course in matrices and linear algebra, and certainly deserves a place in a university library.” (P. Macgregor, The Mathematical Gazette, Vol. 104 (560), July, 2020)

Authors and Affiliations

  • Department of Mathematics, University of Nebraska–Lincoln, Lincoln, USA

    Thomas S. Shores

About the author

Thomas S. Shores is Professor Emeritus of Mathematics at the University of Nebraska–Lincoln, where he has received awards for his teaching. His research touches on group theory, commutative algebra, mathematical modeling, numerical analysis, and inverse theory.

Bibliographic Information

  • Book Title: Applied Linear Algebra and Matrix Analysis

  • Authors: Thomas S. Shores

  • Series Title: Undergraduate Texts in Mathematics

  • DOI: https://doi.org/10.1007/978-3-319-74748-4

  • Publisher: Springer Cham

  • eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)

  • Copyright Information: Springer International Publishing AG, part of Springer Nature 2018

  • Hardcover ISBN: 978-3-319-74747-7Published: 18 May 2018

  • Softcover ISBN: 978-3-030-09067-8Published: 12 January 2019

  • eBook ISBN: 978-3-319-74748-4Published: 02 May 2018

  • Series ISSN: 0172-6056

  • Series E-ISSN: 2197-5604

  • Edition Number: 2

  • Number of Pages: XII, 479

  • Number of Illustrations: 15 b/w illustrations, 30 illustrations in colour

  • Topics: Linear and Multilinear Algebras, Matrix Theory

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