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.
Sprache
Verlagsort
Verlagsgruppe
Elsevier Science Publishing Co Inc
Zielgruppe
Für höhere Schule und Studium
Für Beruf und Forschung
Undergraduate students taking courses in linear algebra taught in departments of computer science, economics, engineering, mathematics, natural sciences, and statistics.
Maße
Höhe: 235 mm
Breite: 187 mm
Gewicht
ISBN-13
978-0-12-680137-8 (9780126801378)
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Schweitzer Klassifikation
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.
Autor*in
Department of Mathematics, Concordia University, Montreal, Quebec, Canada
