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Linear algebra : algorithms, applications, and techniques / Richard Bronson, [and 3 others].

By: Material type: TextTextPublisher: London, United Kingdom ; San Diego, California : Academic Press, an imprint of Elsevier, 2024Edition: Fourth editionDescription: xi, 516 pages : illustrations, charts ; 24 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9780128234709
Subject(s): Genre/Form: DDC classification:
  • 512.5 B789l
LOC classification:
  • QA184.2 .B76 2024
Contents:
Fundamentals -- Matrices -- Vector spaces -- Linear transformations -- Eigenvalues and eigenvectors -- Applications of eigenvalues: Differential equations -- Applications of eigenvalues: Graph theory -- Euclidean inner product -- Appendix A. Jordan canonical forms -- Appendix B. Markov chains.
Summary: "Linear Algebra: Algorithms, Applications, and Techniques, Fourth Edition, begins with the concrete and computational, and guides the reader through the major applications. After an introductory chapter on properties of real numbers and proof techniques, the next three chapters address the basics: matrices, vector spaces, and linear transformations. The final four cover eigenvalues, applications, and Euclidean inner products. Appendices on Jordan canonical forms and Markov chains are included for further study."--Page 4 of cover.
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Holdings
Item type Current library Shelving location Call number Copy number Status Date due Barcode
Books Books Main Library Circulation Section CIR 512.5 B789l 2024 (Browse shelf(Opens below)) 1-1 Available 030879

Includes index.

Fundamentals -- Matrices -- Vector spaces -- Linear transformations -- Eigenvalues and eigenvectors -- Applications of eigenvalues: Differential equations -- Applications of eigenvalues: Graph theory -- Euclidean inner product -- Appendix A. Jordan canonical forms -- Appendix B. Markov chains.

"Linear Algebra: Algorithms, Applications, and Techniques, Fourth Edition, begins with the concrete and computational, and guides the reader through the major applications. After an introductory chapter on properties of real numbers and proof techniques, the next three chapters address the basics: matrices, vector spaces, and linear transformations. The final four cover eigenvalues, applications, and Euclidean inner products. Appendices on Jordan canonical forms and Markov chains are included for further study."--Page 4 of cover.

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