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

Published by Pearson (March 20, 2017) © 2018

  • Bernard Kolman Drexel University
  • David A Hill

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For introductory sophomore-level courses in Linear Algebra or Matrix Theory.

A modern classic

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.

Hallmark features of this title

  • Strong pedagogical framework promotes a strong understanding by gradually introducing topics that connect abstract ideas to concrete foundations.
  • General level of applications presents applications that are suited to a more general audience, rather than for a strongly science-oriented one.
  • Presents matrix multiplication in a separate section.
  • Matrix Transformations: Introduces geometric applications at a very early stage.
  • Computer Graphics provide application of matrix transformations, giving students this application earlier and illustrating the concept more fully.
  • Correlation Coefficient gives an application of dot product to statistics in a new section.

New and updated features of this title

  • Applications of Eigenvalue and Eigenvectors (Ch. 8): new to the edition in this form. It consists of old sections 7.3, 7.5-7.9, 8.1, 8.2.
  • Organizational changes:
    • Section 1.7, Computer Graphics, has been expanded. Old section 2.1 has been split in two sections: 2.1 Echelon Form of a Matrix and 2.2 Solving Linear Systems. This will provided improved pedagogy for covering this important material.
    • Old section 3.4 Span and Linear Independence has been split into two sections 3.3 Span and 3.4 Linear Independence. Since students often have difficulties with these more abstract topics, this revision presents this material at a somewhat slower pace and has more examples. Old Chapter 6 Determinants, has now become Chapter 3 to permit earlier coverage of the material.
  • Exercises involving real world data have been updated to include more recent data sets.
  • More MATLAB exercises have been added.
  • 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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