Linear Algebra with Mathematica: An Introduction Using Mathematica - Tapa blanda

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Author of:

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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This book is written for a standard first course in linear algebra, taught and learned with MATHEMATICA. Development of analytical and computational skills is emphasized, and worked examples provide step-by-step methods for solving basic problems using MATHEMATICA.
Linear algebra's rich pertinence to problem-solving across disciplines is illustrated with applications in engineering, the natural sciences, computer animation, an statistics. Topic coverage includes linear systems, matrix algebra, determinants, real vector spaces, eigenvalues and eigenvectors, vector and matrix norms, inner products, orthogonality, and singular valuedecoposition. The book's matrix-based approach has been extensively classroom tested.|This book is written for a standard first course in linear algebra, taught and learned withMATHEMATICA. Development of analytical and computational skills is emphasized, and worked examples provide step-by-step methods for solving basic problems usingMATHEMATICA.
Linear algebra's rich pertinence to problem-solving across disciplines is illustrated with applications in engineering, the natural sciences, computer animation, an statistics. Topic coverage includes linear systems, matrix algebra, determinants, real vector spaces, eigenvalues and eigenvectors, vector and matrix norms, inner products, orthogonality, and singular valuedecoposition. The book's matrix-based approach has been extensively classroom tested.