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Matrix.Operations.for.Engineers.and.Scientists.An.Essential.Guide.in.Linear.Algebra,.Jeffrey,.Springer,.2010.pdf

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Matrix.Operations.for.Engineers.and.Scientists.An.Essential.Guide.in.Linear.Algebra,.Jeffrey,.Springer,.2010.pdf

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Matrix.Operations.for.Engineers.and.Scientists.An.Essential.Guide.in.Linear.Algebra,.Jeffrey,.Springer,.2010.pdf

文档介绍

文档介绍:Matrix Operations for Engineers and Scientists
.
Alan Jeffrey
Matrix Operations for
Engineers and Scientists
An Essential Guide in Linear Algebra
Prof. Dr. Alan Jeffrey{
16 Bruce Bldg.
University of Newcastle
NE1 7RU Newcastle upon Tyne
United Kingdom
ISBN 978-90-481-9273-1 e-ISBN 978-90-481-9274-8
DOI -90-481-9274-8
Springer Dordrecht Heidelberg London New York
Library of Congress Control Number: 2010932003
# Springer Science+Business Media . 2010
No part of this work may be reproduced, stored in a retrieval system, or transmitted in any form or by any
means, electronic, mechanical, photocopying, microfilming, recording or otherwise, without written
permission from the Publisher, with the exception of any material supplied specifically for the purpose
of being entered and executed on puter system, for exclusive use by the purchaser of the work.
Cover design: eStudio Calamar ., Germany
Printed on acid-free paper
Springer is part of Springer Science+Business Media ()
Preface
This book is based on many courses given by the author to English and American
undergraduate students in engineering and the applied sciences. The book separates
naturally into two distinct parts, although these are not shown as parts one and two.
The first part, represented by Chapters 1–4 and a large part of Chapter 5, gives a
straightforward account of topics from the theory of matrices that form part of every
basic mathematics course given to undergraduate students in engineering and the
applied sciences. However, the presentation of the basic material given in this book
is in greater detail than is usually found in such courses. The only unusual topics
appearing in the first part of the book are in Chapter 3. These are the inclusion of the
technique of least-squares fitting of polynomials to experimental data, and the way
matrices enter into a finite difference approximation for the numerical solution of
the Laplace equation. The least-squares fit