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This book introduces interested readers, practitioners, and researchers to Mathematica<$> methods for solving practical problems in linear algebra. It contains step-by-step solutions of problems in computer science, economics, engineering, mathematics, statistics, and other areas of application. Each chapter contains both elementary and more challenging problems, grouped by fields of application, and ends with a set of exercises. Selected answers are provided in an appendix. The book contains a glossary of definitions and theorem, as well as a summary of relevant Mathematica<$> tools. Applications of Linear Algebra<$> can be used both in laboratory sessions and as a source of take-home problems and projects.
- Concentrates on problem solving and aims to increase the readers' analytical skills
- Provides ample opportunities for applying theoretical results and transferring knowledge between different areas of application; Mathematica plays a key role in this process
- Makes learning fun and builds confidence
- Allows readers to tackle computationally challenging problems by minimizing the frustration caused by the arithmetic intricacies of numerical linear algebra
Undergraduate students taking courses in linear algebra taught in departments of computer science, science, economics, engineering, mathematics, natural sciences, and statistics.
- No. of pages:
- © Academic Press 2001
- 12th October 2000
- Academic Press
- Paperback ISBN:
- eBook ISBN:
The Linear Algebra Survival Guide, 1st Edition
Actuaries' Survival Guide, 2nd Edition
Actuaries' Survival Guide, 1st Edition
Linear Algebra: An Introduction using Maple, 1st Edition
Linear Algebra: An Introduction using Mathematica, 1st Edition
Fred E. Szabo is professor in the Department of Mathematics and Statistics at Concordia University in Canada. He completed his undergraduate studies at Oxford University under the guidance of Sir Michael Dummett and received a Ph.D. in mathematics from McGill University under the supervision of Joachim Lambek. After postdoctoral studies at Oxford University and visiting professorships at several European universities, he returned to Concordia University as a faculty member and dean of graduate studies. For more than twenty years, he developed methods for the teaching of mathematics with technology. In 2012 he was honored at the annual Wolfram Technology Conference for his work on "A New Kind of Learning" with a Wolfram Innovator Award. He is currently professor and Provost Fellow at Concordia University.
Department of Mathematics, Concordia University, Montreal, Quebec, Canada
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