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Introduction to Applied Linear Algebra Vectors, Matrices, and Least Squares

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I Vectors 1 1 Vectors 3 1.1 Vectors . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 1.2 Vector addition . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11 1.3 Scalar-vector multiplication . . . . . . . . . . . . . . . . . . . . . . . . 15 1.4 Inner product ....

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Introduction to
Applied Linear Algebra
Vectors, Matrices, and Least Squares



Stephen Boyd
Department of Electrical Engineering
Stanford University

Lieven Vandenberghe
Department of Electrical and Computer Engineering
University of California, Los Angeles

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www.cambridge.org
Information on this title: www.cambridge.org/9781316518960
DOI: 10.1017/9781108583664
© Cambridge University Press 2018
This publication is in copyright. Subject to statutory exception
and to the provisions of relevant collective licensing agreements,
no reproduction of any part may take place without the written
permission of Cambridge University Press.
First published 2018
Printed in the United Kingdom by Clays, St Ives plc, 2018
A catalogue record for this publication is available from the British Library.
ISBN 978-1-316-51896-0 Hardback
Additional resources for this publication at www.cambridge.org/IntroAppLinAlg
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of URLs for external or third-party internet websites referred to in this publication
and does not guarantee that any content on such websites is, or will remain,
accurate or appropriate.

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