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.
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Introduces interested readers, practitioners, and researchers to Mathematica methods for solving practical problems in linear algebra. This book contains step-by-step solutions of problems in computer science, economics, engineering, mathematics, statistics, and other areas of application. It contains a glossary of definitions and theorem.
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Produktdetaljer

ISBN
9780126801378
Publisert
2000-10-12
Utgiver
Vendor
Academic Press Inc
Vekt
580 gr
Høyde
235 mm
Bredde
187 mm
Aldersnivå
05, 06, UU, UP, P
Språk
Product language
Engelsk
Format
Product format
Heftet
Antall sider
267

Forfatter

Biographical note

Author of: The Linear Algebra Survival Guide, 1st EditionActuaries' Survival Guide, 2nd EditionActuaries' Survival Guide, 1st EditionLinear Algebra: An Introduction using Maple, 1st EditionLinear Algebra: An Introduction using Mathematica, 1st EditionFred 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.