Linear Algebra : An Introduction Using Mathematica

Szabo, Fred

ISBN 10: 0123814014 / ISBN 13: 9780123814012

Published by Academic Press, 2009

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Bibliographic Details

Title: Linear Algebra : An Introduction Using ...

Publisher: Academic Press

Publication Date: 2009

Binding: Soft cover

Condition: New

About this title

Synopsis:

Linear Algebra: An Introduction With Mathematica uses a matrix-based presentation and covers the standard topics any mathematician will need to understand linear algebra while using Mathematica. Development of analytical and computational skills is emphasized, and worked examples provide step-by-step methods for solving basic problems using Mathematica. The subject's rich pertinence to problem solving across disciplines is illustrated with applications in engineering, the natural sciences, computer animation, and statistics.

From the Back Cover:

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.