Matrix Methods: Applied Linear Algebra

by Richard Bronson, Gabriel B. Costa

Matrix Methods: Applied Linear Algebra, Third Edition , as a textbook, provides a unique and comprehensive balance between the theory and computation of matrices. The application of matrices is not just for mathematicians. The use by other disciplines has grown dramatically over the years in response to the rapid changes in technology. Matrix methods is the essence of linear algebra and is what is used to help physical scientists; chemists, physicists, engineers, statisticians, and economists solve real world problems.

432 pages, Hardcover

First published September 4, 2008

About the author

Richard Bronson is Professor Emeritus of Mathematics at Fairleigh Dickinson University where he served as Chair of the Department of Mathematics and Computer Science, Acting Dean of the College of Science and Engineering, Interim Provost of the Metropolitan Campus, Director of Government Affairs, and Senior Executive Assistant to the President.

Antispin is his first novel. He also wrote eleven books in mathematics, some in their third edition with many translated into multiple languages. He has published children’s poetry in magazines, including Highlights for Children, and was on the editorial staff of the professional publications Simulation Magazine and SIAM News and the children’s magazine, Kids Club.

In 1994, Richard Bronson was awarded the Distinguished College or University Teaching award by the New Jersey Section of Mathematical Association of America. He also received the Fairleigh Dickinson University Distinguished Faculty Award for Research & Scholarship, the Distinguished Faculty Award for Service, and the University College Outstanding Teacher Award.

Reviews

[Antonio Lizcano · Rating 3 out of 5]

This is not a bad book. It is easy to understand and to read. It can serve as a complement to a linear algebra course. However, basic concepts on linear algebra, such as vector space or linear transformation, are missing. Some exercises are useful and revealing, but I did not find this book to be as applied as stated. The geometric and intuitive sides are rather neglected.