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Linear Algebra

A Geometric Approach

Theodore Shifrin Malcolm Adams

$201.95

Hardback

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English
W.H.Freeman & Co Ltd
30 July 2010
Linear Algebra: A Geometric Approach, now in its second edition and written by Malcolm Adams and Ted Shifrin, presents the standard computational aspects of linear algebra. The textbook also includes a variety of intriguing interesting applications that would be interesting to motivate science and engineering students, as well as help mathematics students make the transition to more abstract advanced courses.

This textbook is an ideal book for any course covering the multifaceted and complex topic of linear algebra. The text guides students on how to think about mathematical concepts, understand how they can be applied, and help them build the skills they'll need in order to write rigorous mathematical arguments. As such, it's an ideal resource for both teaching and learning the subject.

By:   ,
Imprint:   W.H.Freeman & Co Ltd
Country of Publication:   United States
Edition:   2nd ed. 2010
Dimensions:   Height: 263mm,  Width: 208mm,  Spine: 23mm
Weight:   1.004kg
ISBN:   9781429215213
ISBN 10:   1429215216
Pages:   464
Publication Date:  
Audience:   Professional and scholarly ,  Undergraduate
Format:   Hardback
Publisher's Status:   Active
Chapter 1. Vectors and Matrices.- Chapter 2. Matrix Algebra.- Chapter 3. Vector Spaces.- Chapter 4. Projections and Linear Transformations.- Chapter 5. Determinants.- Chapter 6. Eigenvalues and Eigenvectors.-

Theodore (Ted) Shifrin is a Professor of Mathematics and the Associate Head of the Mathematics Department at the University of Georgia. He has won multiple awards for teaching, including the Lothar Tresp Outstanding Honors Professor Award in 2002 and 2010, as well as the Honoratus Medal in 1992. Malcolm Adams is a Professor of Mathematics and the Mathematics Department Head at the University of Georgia, where he also held the General Sandy Beaver Teaching Professorship from 2005-2008. Professor Adams's research interests focus on differential equations, especially in applications to biology and physics.

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