Introduction to Applied Linear Algebra: Vectors, Matrices, and Least Squares - Tapa dura

Boyd, Stephen; Vandenberghe, Lieven

9781316518960: Introduction to Applied Linear Algebra: Vectors, Matrices, and Least Squares

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ISBN 10: 1316518965 ISBN 13: 9781316518960

Editorial: Cambridge University Press, 2018

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This groundbreaking textbook combines straightforward explanations with a wealth of practical examples to offer an innovative approach to teaching linear algebra. Requiring no prior knowledge of the subject, it covers the aspects of linear algebra - vectors, matrices, and least squares - that are needed for engineering applications, discussing examples across data science, machine learning and artificial intelligence, signal and image processing, tomography, navigation, control, and finance. The numerous practical exercises throughout allow students to test their understanding and translate their knowledge into solving real-world problems, with lecture slides, additional computational exercises in Julia and MATLAB�, and data sets accompanying the book online. Suitable for both one-semester and one-quarter courses, as well as self-study, this self-contained text provides beginning students with the foundation they need to progress to more advanced study.

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Stephen Boyd is the Samsung Professor of Engineering, and Professor of Electrical Engineering at Stanford University,California, with courtesy appointments in the Department of Computer Science, and the Department of Management Science and Engineering. He is the co-author of Convex Optimization (Cambridge, 2004), written with Lieven Vandenberghe.

Lieven Vandenberghe is a Professor in the Electrical and Computer Engineering Department at the University of California, Los Angeles, with a joint appointment in the Department of Mathematics. He is the co-author, with Stephen Boyd, of Convex Optimization (Cambridge, 2004).

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EditorialCambridge University Press
A�o de publicaci�n2018
ISBN 10 1316518965
ISBN 13 9781316518960
Encuadernaci�nTapa dura
IdiomaIngl�s
N�mero de p�ginas474
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Introduction to Applied Linear Algebra: Vectors, Matrices, and Least Squares

Vandenberghe, Lieven

Publicado por Cambridge University Press, 2018

ISBN 10: 1316518965 ISBN 13: 9781316518960

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Paperback. Condici�n: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged. N� de ref. del art�culo: GOR009841561

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

Boyd, Stephen,Vandenberghe, Lieven

Publicado por Cambridge University Press, 2018

ISBN 10: 1316518965 ISBN 13: 9781316518960

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

Boyd, Stephen, Vandenberghe, Lieven

Publicado por Cambridge University Press, 2018

ISBN 10: 1316518965 ISBN 13: 9781316518960

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Introduction to Applied Linear Algebra

Lieven Vandenberghe

Publicado por Cambridge University Press, 2018

ISBN 10: 1316518965 ISBN 13: 9781316518960

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HRD. Condici�n: New. New Book. Shipped from UK. Established seller since 2000. N� de ref. del art�culo: FM-9781316518960

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INTRODUCTION TO APPLIED LINEAR ALGEBRA

STEPHEN BOYD

Publicado por Cambridge University Press, 2018

ISBN 10: 1316518965 ISBN 13: 9781316518960

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Introduction to Applied Linear Algebra

Stephen Boyd

Publicado por Cambridge University Press Jun 2018, 2018

ISBN 10: 1316518965 ISBN 13: 9781316518960

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Librería: Rheinberg-Buch Andreas Meier eK, Bergisch Gladbach, Alemania

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Buch. Condici�n: Neu. Neuware -This groundbreaking textbook combines straightforward explanations with a wealth of practical examples to offer an innovative approach to teaching linear algebra. Requiring no prior knowledge of the subject, it covers the aspects of linear algebra - vectors, matrices, and least squares - that are needed for engineering applications, discussing examples across data science, machine learning and artificial intelligence, signal and image processing, tomography, navigation, control, and finance. The numerous practical exercises throughout allow students to test their understanding and translate their knowledge into solving real-world problems, with lecture slides, additional computational exercises in Julia and MATLAB�, and data sets accompanying the book online. Suitable for both one-semester and one-quarter courses, as well as self-study, this self-contained text provides beginning students with the foundation they need to progress to more advanced study. 474 pp. Englisch. N� de ref. del art�culo: 9781316518960

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