Elementary Linear Algebra with Applications (Classic Version), 9th edition

Published by Pearson (August 9, 2023) © 2024

  • Bernard Kolman Drexel University
  • David A Hill

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ISBN-13: 9780137981106 (2023 update)

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ISBN-13: 9780137981106 (2023 update)

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Purchasing Instructions

This form contains two groups of radio buttons, one for Exam Pack purchasing options, and one for standard purchasing options. Only one option can be chosen for purchase. Any option that is selected will deselect any previously selected purchase option.

eTextbook access on Pearson+

ISBN-13: 9780137981106 (2023 update)

Unlock extra study tools for other course help

eTextbook access + Study & Exam Prep monthly subscription on Pearson+

ISBN-13: 9780137981106 (2023 update)

In this eTextbook — More ways to learn

  • More flexible. Start learning right away, on any device.
  • More supportive. Get AI explanations and practice questions (select titles).
  • More interactive. Bring learning to life with audio, videos, and diagrams.
  • More memorable. Make concepts stick with highlights, search, notes, and flashcards.
  • More understandable. Translate text into 100+ languages with one tap.
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Details

  • A print edition

This product is expected to ship within 3-6 business days for US and 5-10 business days for Canadian customers.

Title overview

Elementary Linear Algebra with Applications, 9th Edition presents the basic ideas of linear algebra in a manner that offers students a fine balance between abstraction/theory and computational skills. The emphasis is on not just teaching how to read a proof but also on how to write a proof.

This title is part of the Pearson Modern Classics series. Pearson Modern Classics are acclaimed titles at a value price.

Table of contents

  • 1 - Linear Equations And Matrices
  • 2 - Solving Linear Systems
  • 3 - Determinants
  • 4 - Real Vector Spaces
  • 5 - Inner Product Spaces
  • 6 - Linear Transformations and Matrices
  • 7 - Eigenvalues and Eigenvectors
  • 8 - Applications of Eigenvalues and Eigenvectors (Optional)
  • 9 - MATLAB for Linear Algebra
  • 10 - MATLAB Exercises

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