Linear Algebra: An Introduction Using MAPLE is a text for a first undergraduate course in linear algebra. All students majoring in mathematics, computer science, engineering, physics, chemistry, economics, statistics, actuarial mathematics and other such fields of study will benefit from this text. The presentation is matrix-based and covers the standard topics for a first course recommended by the Linear Algebra Curriculum Study Group. The aim of the book is to make linear algebra accessible to all college majors through a focused presentation of the material, enriched by interactive learning and teaching with MAPLE.
Development of analytical and computational skills is emphasized throughout
Worked examples provide step-by-step methods for solving basic problems using Maple
The subject's rich pertinence to problem solving across disciplines is illustrated with applications in engineering, the natural sciences, computer animation, and statistics
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Linear Algebra: An Introduction Using Maple is designed to provide a positive and fruitful experience during a first encounter with linear algebra. Mathematical ideas are presented as a story, built on the solution of linear systems. Gaussian elimination and the singular value decomposition serve as motivating themes. Maple provides students with frequent opportunities to engage in modest forms of research, enabling individuals or groups to work on meaningful projects.
The author's narrative presentation is enriched by the interactive use of Maple. Programming and computational complexity are kept to a minimum. Szabo uses Maple's symbolic and numerical calculation capabilities to distinguish between exact and approximate solutions of mathematical problems. Linear Algebra: An Introduction Using Maple provides a uniquely concrete foundation for the fundamental issue of linear algebra: solving linear systems.
"It does a great job of teaching the student how real people solve real linear algebra problems (by computer), frees up time for conceptual issues, and allows real experimentation by the student so they can feel comfortable with the concepts."
-Todd Arbogast, University of Texas, Austin
"The book reads easily....What I liked most is that he weaves in from the beginning basic concepts like determinants and eigenvalues, not waiting for a formal introduction of them, and thus being able to discuss early on a variety of interesting examples...In this way, the whole presentation of the book forms a unity, as opposed to the presentation of disconnected chapters."
-Karen Reinhold, State University of New York at Albany.
"This is an excellent modern text...I really like this book and I will use it enthusiastically."
-Eric Carlen, Georgia Institute of Technology
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.
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