Published by Cambridge University Press, 2009
ISBN 10: 0521762227 ISBN 13: 9780521762229
Language: English
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Published by Cambridge University Press, 2010
ISBN 10: 0521762227 ISBN 13: 9780521762229
Language: English
Seller: Prior Books Ltd, Cheltenham, United Kingdom
First Edition
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Add to basketHardcover. Condition: Like New. First Edition. A firm and square hardback with sharp corners and strong joints, just showing a few very minor cosmetic rubs. Hence a non-text page has a 'damaged' stamp. Despite such this book is actually in nearly new condition and appears unread. Thus the contents are crisp, fresh and tight; no pen-marks. Now offered for sale at a very sensible price.
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Condition: New. pp. 446.
Published by Cambridge University Press, 2009
ISBN 10: 0521762227 ISBN 13: 9780521762229
Language: English
Seller: AMM Books, Gillingham, KENT, United Kingdom
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Published by Taylor & Francis Ltd, 2020
ISBN 10: 036757392X ISBN 13: 9780367573928
Language: English
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Add to basketPaperback. Condition: Brand New. 446 pages. 10.00x7.01x0.98 inches. In Stock.
Published by Cambridge University Press, 2009
ISBN 10: 0521762227 ISBN 13: 9780521762229
Language: English
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Published by Cambridge University Press, 2010
ISBN 10: 0521762227 ISBN 13: 9780521762229
Language: English
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Hardcover. Condition: new. Excellent Condition.Excels in customer satisfaction, prompt replies, and quality checks.
Published by Cambridge University Press, 2009
ISBN 10: 0521762227 ISBN 13: 9780521762229
Language: English
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Published by Cambridge University Press, 2010
ISBN 10: 0521762227 ISBN 13: 9780521762229
Language: English
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Add to basketHardcover. Condition: Brand New. 1st edition. 520 pages. 7.72x4.57x0.47 inches. In Stock.
Published by Cambridge University Press, Cambridge, 2009
ISBN 10: 0521762227 ISBN 13: 9780521762229
Language: English
Seller: Grand Eagle Retail, Fairfield, OH, U.S.A.
Hardcover. Condition: new. Hardcover. Over the past two decades there have been significant advances in the field of optimization. In particular, convex optimization has emerged as a powerful signal processing tool, and the variety of applications continues to grow rapidly. This book, written by a team of leading experts, sets out the theoretical underpinnings of the subject and provides tutorials on a wide range of convex optimization applications. Emphasis throughout is on cutting-edge research and on formulating problems in convex form, making this an ideal textbook for advanced graduate courses and a useful self-study guide. Topics covered range from automatic code generation, graphical models, and gradient-based algorithms for signal recovery, to semidefinite programming (SDP) relaxation and radar waveform design via SDP. It also includes blind source separation for image processing, robust broadband beamforming, distributed multi-agent optimization for networked systems, cognitive radio systems via game theory, and the variational inequality approach for Nash equilibrium solutions. Leading experts provide the theoretical underpinnings of the subject plus tutorials on a wide range of applications, from automatic code generation to robust broadband beamforming. Emphasis on cutting-edge research and formulating problems in convex form make this an ideal textbook for advanced graduate courses and a useful self-study guide. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Published by Cambridge University Press, 2010
ISBN 10: 0521762227 ISBN 13: 9780521762229
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
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Published by Taylor and Francis Inc, 2017
ISBN 10: 1498776450 ISBN 13: 9781498776455
Language: English
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Published by CRC Press 2017-02-09, 2017
ISBN 10: 1498776450 ISBN 13: 9781498776455
Language: English
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Published by Taylor & Francis Group, 2017
ISBN 10: 1498776450 ISBN 13: 9781498776455
Language: English
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Published by Cambridge University Press, Cambridge, 2009
ISBN 10: 0521762227 ISBN 13: 9780521762229
Language: English
Seller: CitiRetail, Stevenage, United Kingdom
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Add to basketHardcover. Condition: new. Hardcover. Over the past two decades there have been significant advances in the field of optimization. In particular, convex optimization has emerged as a powerful signal processing tool, and the variety of applications continues to grow rapidly. This book, written by a team of leading experts, sets out the theoretical underpinnings of the subject and provides tutorials on a wide range of convex optimization applications. Emphasis throughout is on cutting-edge research and on formulating problems in convex form, making this an ideal textbook for advanced graduate courses and a useful self-study guide. Topics covered range from automatic code generation, graphical models, and gradient-based algorithms for signal recovery, to semidefinite programming (SDP) relaxation and radar waveform design via SDP. It also includes blind source separation for image processing, robust broadband beamforming, distributed multi-agent optimization for networked systems, cognitive radio systems via game theory, and the variational inequality approach for Nash equilibrium solutions. Leading experts provide the theoretical underpinnings of the subject plus tutorials on a wide range of applications, from automatic code generation to robust broadband beamforming. Emphasis on cutting-edge research and formulating problems in convex form make this an ideal textbook for advanced graduate courses and a useful self-study guide. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.