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|a 015371343
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|a 9780521762229 (hbk.)
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|a 0521762227 (hbk.)
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|a (OCoLC)422765059
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|a co2791098
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|a UKM
|b eng
|c UKM
|d BTCTA
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|a CGUA
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4 |
|a QA402.5
|b .C66 2010
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0 |
4 |
|a 621.3822015196
|2 22
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245 |
0 |
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|a Convex optimization in signal processing and communications /
|c edited by Daniel P. Palomar and Yonina C. Eldar.
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260 |
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|a Cambridge, UK ;
|a New York :
|b Cambridge University Press,
|c 2010.
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300 |
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|a xiv, 498 p. :
|b ill. ;
|c 26 cm.
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336 |
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|a text
|b txt
|2 rdacontent
|0 http://id.loc.gov/vocabulary/contentTypes/txt
|
337 |
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|a unmediated
|b n
|2 rdamedia
|0 http://id.loc.gov/vocabulary/mediaTypes/n
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338 |
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|a volume
|b nc
|2 rdacarrier
|0 http://id.loc.gov/vocabulary/carriers/nc
|
504 |
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|a Includes bibliographical references and index.
|
505 |
0 |
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|a 1. Automatic code generation for real-time convex optimization / Jacob Mattingley and Stephen Boyd -- 2. Gradient-based algorithmswith applications to signal-recovery problems / Amir Beck and Marc Teboulle -- 3. Graphical models of autoregressive processes / Jitkomut Songsiri, Joachim Dahl and Lieven Vandenberghe -- 4. SDP relaxation of homogeneous quadratic optimization: approximation bounds and applications / Zhi-Quan Luo and Tsung-Hui Chang -- 5. Probabilistic analysis of semidefinite relaxation detectors for multiple-input, multiple-output systems / Anthony Man-Cho So and Yinyu Ye -- 6. Semidefinite programming, matrix decomposition, and radar code design / Yongwei Huang, Antonio De Maio and Shuzhong Zhang -- 7. Convex analysis for non-negative blind source separation with application in imaging / Wing-Kin Ma, Tsung-Han Chan, Chong-Yung Chi and Vue Wang -- 8. Optimization techniques in modern sampling theory / Tomer Michaeli and Yonina C. Eldar -- 9. Robust broadband adaptive beamforming using convex optimization / Michael Rubsamen, Amr El-Keyi, Alex B. Gershman and Thia Kirubarajan -- 10. Cooperative distributed multi-agentoptimization / Angelia Nedic and Asuman Ozdaglar -- 11. Competitive optimization of cognitive radio MIMO systems via game theory / Gesualso Scutari, Daniel P. Palomar and Sergio Barbarossa -- 12. Nash equilibria: the variational approach / Francisco Facchinei and Jong-Shi Pang.
|
650 |
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0 |
|a Signal processing.
|0 http://id.loc.gov/authorities/subjects/sh85122397
|
650 |
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0 |
|a Mathematical optimization.
|0 http://id.loc.gov/authorities/subjects/sh85082127
|
650 |
|
0 |
|a Convex functions.
|0 http://id.loc.gov/authorities/subjects/sh85031728
|
650 |
|
7 |
|a Convex functions.
|2 fast
|0 http://id.worldcat.org/fast/fst00877260
|
650 |
|
7 |
|a Mathematical optimization.
|2 fast
|0 http://id.worldcat.org/fast/fst01012099
|
650 |
|
7 |
|a Signal processing.
|2 fast
|0 http://id.worldcat.org/fast/fst01118281
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700 |
1 |
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|a Palomar, Daniel P.
|0 http://id.loc.gov/authorities/names/no2007146184
|1 http://viaf.org/viaf/26858984
|
700 |
1 |
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|a Eldar, Yonina C.
|0 http://id.loc.gov/authorities/names/no2010062198
|1 http://viaf.org/viaf/120554103
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903 |
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|a HeVa
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929 |
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|a cat
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|t Library of Congress classification
|a QA402.5 .C66 2010
|l Eck
|c Eck-Eck
|i 5560464
|
927 |
|
|
|t Library of Congress classification
|a QA402.5 .C66 2010
|l Eck
|c Eck-Eck
|e BROW
|b 092641745
|i 8733710
|