Linear Algebra with Mathematica: An Introduction Using Mathematica Szabo, Fred

Szabo, Fred

ISBN 10: 0126801355 / ISBN 13: 9780126801354

Published by Academic Press, 2000

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Bibliographic Details

Title: Linear Algebra with Mathematica: An ...

Publisher: Academic Press

Publication Date: 2000

Binding: Soft cover

Condition: gebraucht; sehr gut

About this title

Synopsis:

Linear Algebra with Mathematica Using a matrix-based presentation, this work covers the standard topics mathematicians need to understand linear algebra while using Mathematica. It includes worked examples that provide step-by-step methods for solving basic problems using Mathematica. It also provides a systematic integration of Mathematica. Full description

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.