111,09 €
Optimal Resource Allocation for Distributed Video Communication
Optimal Resource Allocation for Distributed Video Communication
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Optimal Resource Allocation for Distributed Video Communication
Optimal Resource Allocation for Distributed Video Communication
El. knyga:
111,09 €
Focusing on resource optimization for distributed video and multimedia communications, this book examines four applications in optimal resource allocations with distributed algorithms, including problem formulation, theoretical analysis, and simulation results. Suitable for both industry practitioners and academics, it introduces the characteristics, recent advances, and current challenges in distributed systems as well as a solutions framework to tackle those challenges. Discussing cutting-edg…

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Focusing on resource optimization for distributed video and multimedia communications, this book examines four applications in optimal resource allocations with distributed algorithms, including problem formulation, theoretical analysis, and simulation results. Suitable for both industry practitioners and academics, it introduces the characteristics, recent advances, and current challenges in distributed systems as well as a solutions framework to tackle those challenges. Discussing cutting-edge topics such as the theory of convex optimization and the development of a distributed algorithm using dual decomposition, the book concludes with open issues to stimulate further learning.

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Focusing on resource optimization for distributed video and multimedia communications, this book examines four applications in optimal resource allocations with distributed algorithms, including problem formulation, theoretical analysis, and simulation results. Suitable for both industry practitioners and academics, it introduces the characteristics, recent advances, and current challenges in distributed systems as well as a solutions framework to tackle those challenges. Discussing cutting-edge topics such as the theory of convex optimization and the development of a distributed algorithm using dual decomposition, the book concludes with open issues to stimulate further learning.

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