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      Convex Optimization for Signal Processing and Communications
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      Book

      Convex Optimization for Signal Processing and Communications

      DOI link for Convex Optimization for Signal Processing and Communications

      Convex Optimization for Signal Processing and Communications book

      From Fundamentals to Applications

      Convex Optimization for Signal Processing and Communications

      DOI link for Convex Optimization for Signal Processing and Communications

      Convex Optimization for Signal Processing and Communications book

      From Fundamentals to Applications
      ByChong-Yung Chi, Wei-Chiang Li, Chia-Hsiang Lin
      Edition 1st Edition
      First Published 2017
      eBook Published 26 January 2017
      Pub. Location Boca Raton
      Imprint CRC Press
      DOI https://doi.org/10.1201/9781315366920
      Pages 446
      eBook ISBN 9781315366920
      Subjects Engineering & Technology
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      Chi, C.-Y., Li, W.-C., & Lin, C.-H. (2017). Convex Optimization for Signal Processing and Communications: From Fundamentals to Applications (1st ed.). CRC Press. https://doi.org/10.1201/9781315366920

      ABSTRACT

      Convex Optimization for Signal Processing and Communications: From Fundamentals to Applications provides fundamental background knowledge of convex optimization, while striking a balance between mathematical theory and applications in signal processing and communications.

      In addition to comprehensive proofs and perspective interpretations for core convex optimization theory, this book also provides many insightful figures, remarks, illustrative examples, and guided journeys from theory to cutting-edge research explorations, for efficient and in-depth learning, especially for engineering students and professionals.

      With the powerful convex optimization theory and tools, this book provides you with a new degree of freedom and the capability of solving challenging real-world scientific and engineering problems.

      TABLE OF CONTENTS

      chapter 1|34 pages

      Mathematical Background

      chapter 2|50 pages

      Convex Sets

      chapter 3|50 pages

      Convex Functions

      chapter 4|52 pages

      Convex Optimization Problems

      chapter 5|18 pages

      Geometric Programming

      chapter 6|46 pages

      Linear Programming and Quadratic Programming

      chapter 7|16 pages

      Second-order Cone Programming

      chapter 8|68 pages

      Semidefinite Programming

      chapter 9|70 pages

      Duality

      chapter 10|26 pages

      Interior-point Methods

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