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CONVEX OPTIMIZATION FOR SIGNAL PROCESSING AND COMMUNICATIONS 2017 (H)
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Features
* Covers convex optimization from fundamentals to advanced applications, while holding a strong link from theory to applications
* Provides comprehensive proofs and perspective interpretations, and many insightful figures, examples and remarks to illuminate core convex optimization theory
* Illustrates, by cutting-edge practical applications, how to apply the convex optimization theory to solving the optimization problem
* Offers easy accessibility for readers with knowledge of undergraduate-level calculus and linear algebra
Summary
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
Preface
Chapter 1: Mathematical Background
Chapter 2: Convex Sets
Chapter 3: Convex Functions
Chapter 4: Convex Optimization Problems
Chapter 5: Geometric Programming
Chapter 6: Linear Programming and Quadratic Programming
Chapter 7: Second-order Cone Programming
Chapter 8: Semidefinite Programming
Chapter 9: Duality
Chapter 10: Interior-point Methods
Appendix: Convex Optimization Solvers |
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Springer 國外現貨
  
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