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Daniel P. Palomar
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USD
176.75
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AussieBookSeller /Abebooks AUS
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ISBN10: 0521762227, ISBN13: 9780521762229, [publisher: Cambridge University Press, Cambridge] Hardcover 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 ...
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Daniel P. Palomar
author size:
USD
133.64
price size:
CitiRetail /AbebooksUK
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ISBN10: 0521762227, ISBN13: 9780521762229, [publisher: Cambridge University Press, Cambridge] Hardcover 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 ...
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Daniel P. Palomar
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USD
124.96
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THE SAINT BOOKSTORE /AbebooksUK
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ISBN10: 0521762227, ISBN13: 9780521762229, [publisher: Cambridge University Press] Hardcover New copy - Usually dispatched within 4 working days. Leading experts provide the theoretical underpinnings of the subject and tutorials on a wide variety of key applications.
[Southport, United Kingdom] [Publication Year: 2010]
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Daniel P. Palomar
author size:
USD
120.01
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The Saint Bookstore /Biblio
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Hardback. New. 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. ISBN 0521762227 9780521762229 [GB]
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