Overview
- A radically new and thoroughly algorithmic approach to linear algebra
- Each proof is an algorithm described in English that can be translated into the computer language the class is using and put to work solving problems and generating new examples
- Designed for a one-semester course, this text gives the student many examples to work through and copious exercises to test their skills and extend their knowledge
- Includes supplementary material: sn.pub/extras
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Table of contents (10 chapters)
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Front Matter
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Back Matter
Keywords
About this book
In his new undergraduate textbook, Harold M. Edwards proposes a radically new and thoroughly algorithmic approach to linear algebra. Originally inspired by the constructive philosophy of mathematics championed in the 19th century by Leopold Kronecker, the approach is well suited to students in the computer-dominated late 20th century.
Each proof is an algorithm described in English that can be translated into the computer language the class is using and put to work solving problems and generating new examples, making the study of linear algebra a truly interactive experience.
Designed for a one-semester course, this text adopts an algorithmic approach to linear algebra giving the student many examples to work through and copious exercises to test their skills and extend their knowledge of the subject. Students at all levels will find much interactive instruction in this text while teachers will find stimulating examples and methods of approach to the subject.
Authors and Affiliations
Bibliographic Information
Book Title: Linear Algebra
Authors: Harold M. Edwards
DOI: https://doi.org/10.1007/978-0-8176-4446-8
Publisher: Birkhäuser Boston, MA
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eBook Packages: Springer Book Archive
Copyright Information: Harold M. Edwards 1995
Softcover ISBN: 978-0-8176-4370-6Published: 15 October 2004
eBook ISBN: 978-0-8176-4446-8Published: 11 November 2013
Edition Number: 1
Number of Pages: XIII, 184
Topics: Linear and Multilinear Algebras, Matrix Theory, Math Applications in Computer Science, Mathematics of Computing, Mathematical and Computational Engineering, Economic Theory/Quantitative Economics/Mathematical Methods