Linear Algebra: An Introduction Using Maple / Edition 1

Linear Algebra: An Introduction Using Maple / Edition 1

by Fred E. Szabo, Fred Szabo
     
 

ISBN-10: 0126801401

ISBN-13: 9780126801408

Pub. Date: 06/22/2001

Publisher: Elsevier Science

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

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Overview

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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Product Details

ISBN-13:
9780126801408
Publisher:
Elsevier Science
Publication date:
06/22/2001
Edition description:
LAB MANUAL
Pages:
726
Product dimensions:
7.61(w) x 9.50(h) x 1.44(d)

Related Subjects

Table of Contents

Linear Algebra: An Introduction Using Maple uses a matrix-based presentation and covers the standard topics any mathematician will need to understand linear algebra while using Maple. Development of analytical and computational skills is emphasized, and 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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