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A First Course in Linear Algebra with Applications,

Edition 3 With Applications

Editors: Edited by Adil Yaqub and Hal G. Moore

Publication Date: 18 Mar 1998

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This text intends to transform students from passive observers of mathematics to participants in it. The book employs a spiral development of ideas to blend the requirements of problem solving, analytical thinking, computational technique, and applications, and emphasizes the interplay of algebraic and geometric concepts. It includes an extensive number of exercises, ranging from routine to challenging. The Third Edition offers 40 percent new material, including manynew applications. It incorporates MATLAB to demonstrate how computational software tools can be used in this field.

Key Features

@bul:* Offers a proven, successful approach to Linear Algebra
* Contains a practical presentation, illuminating examples, and exceptional exercises, thus enabling instructors to emphasize computational techniques, theoretical material, and applications
* Includes a wide variety of effective applications
* Provides a student friendly writing style
* Begins with the familiar and proceeds to the new in a well-motivated manner
* Acknowledges current reforms and proceeds from there
* Explains how to solve some examples in MATLAB, demonstrating how such software tools can be used in this field
* Includes student projects at close of chapter exercise sets

About the author

Edited by Adil Yaqub, University of California, Santa Barbara; and Hal G. Moore, Brigham Young University

Linear Systems and Matrices
Matrix Algebra
Matrix and Vector Equations
Determinants
Vector Spaces
Inner Product Spaces
Coordinates, Matrices, and Transformations
Eigenspaces and Applications of Eigenvalue Theory
Appendix
Answers to Selected Exercises
Subject Index

ISBN: 9780125057608

Page Count: 632

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Bronson: LINEAR ALGEBRA (1995, ISBN: 0-12-135245-5)
Gilbert/Gilbert: LINEAR ALGEBRA AND MATRIX THEORY (1995, ISBN: 0-12-282970-0)
Bronson: MATRIX METHODS, SECOND EDITION (1991, ISBN: 0-12-135251-X)

Audience: Mathematics, engineering, and physical science students taking an undergraduate course in linear algebra. All potential users of linear algebra.