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Bilevel Programming Problems: Theory, Algorithms and Applications to Energy Networks

This book describes recent theoretical findings relevant to bilevel programming in general, and in mixed-integer bilevel programming;

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Mathematical Programming And Game Theory For Decision Making

provides a panoramic view of theory and the applications of the methods of mathematical programming to problems in statistics, finance, games and;

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Foundations of Bilevel Programming

. Properties of the resulting problem are highlighted and its relation to the bilevel problem is investigated. Stability properties, numerical;

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Foundations of Bilevel Programming

. Properties of the resulting problem are highlighted and its relation to the bilevel problem is investigated. Stability properties, numerical;

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Linear Programming and Algorithms for Communication Networks

Networks: A Practical Guide to Network Design, Control, and Management fills the gap between mathematical programming theory and its implementation;

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Linear Programming and Algorithms for Communication Networks

Networks: A Practical Guide to Network Design, Control, and Management fills the gap between mathematical programming theory and its implementation;

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Computational Intelligence Paradigms

Offering a wide range of programming examples implemented in MATLAB (R), Computational Intelligence Paradigms: Theory and Applications;

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Computational Intelligence Paradigms

Offering a wide range of programming examples implemented in MATLAB (R), Computational Intelligence Paradigms: Theory and Applications;

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Design of Modern Communication Networks

Design of Modern Communication Networks focuses on methods and algorithms related to the design of communication networks, using;

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Optimization Techniques for Solving Complex Problems

Real-world problems and modern optimization techniques to solve them Here, a team of international experts brings together core ideas for;

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Evolutionary Programming IV

academia, industry, and defense. The papers describe both the theory and practical application of evolutionary programming, as well as other;

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Energy-Efficient Algorithms and Protocols for Wireless Body Sensor Networks

This book provides a systematic treatment of the theoretical foundation and algorithmic tools necessary in the design of energy-efficient;

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Energy-Efficient Algorithms and Protocols for Wireless Body Sensor Networks

This book provides a systematic treatment of the theoretical foundation and algorithmic tools necessary in the design of energy-efficient;

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Learning Algorithms

to learn from past experience, and therefore have significant potential in the adaptive control of signals and systems. This book focuses on;

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Graph Theory Applications in Network Security

. Unfortunately, it is also amongst the most complex topics to understand and apply. In this paper, we review some of the key applications of graph theory;

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Hybrid Intelligent Systems in Control, Pattern Recognition and Medicine

type-2 fuzzy logic and their applications; the second explores new concepts and algorithms in neural networks and fuzzy logic applied to;

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Hybrid Intelligent Systems in Control, Pattern Recognition and Medicine

type-2 fuzzy logic and their applications; the second explores new concepts and algorithms in neural networks and fuzzy logic applied to;

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Handbook of Semidefinite Programming

Semidefinite programming (SDP) is one of the most exciting and active research areas in optimization. It has and continues to attract;

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Handbook of Semidefinite Programming

Semidefinite programming (SDP) is one of the most exciting and active research areas in optimization. It has and continues to attract;

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UltraLow Energy Wireless Sensor Networks in Practice

written the first practical guide to wireless sensor networks. The authors draw on their experience in the development and field-testing;

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Foundations of Computational Intelligence 03

and so on. Due to its wide usage and applications, it has gained the attention of researchers and practitioners from a plethora of scientific;

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Planning Telecommunication Networks

and graduate students an introduction to the theory underlying the interdisciplinary field of network planning, a critical aspect of network;

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Multi-Parametric Programming

This first book to cover all aspects of multi-parametric programming and its applications in process systems engineering includes;

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Brain and Nature-Inspired Learning, Computation and Recognition

processing, clustering problems, change detection, control theory and other disciplines. The book discusses the main problems and applications;

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Parallel and Distributed Processing Techniques and Applications

Allocation, Scheduling, Energy-Aware Computing + Load-Balancing + Fault-Tolerant Systems Parallel and Distributed Algorithms and Applications;

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Parallel and Distributed Processing Techniques and Applications

Allocation, Scheduling, Energy-Aware Computing + Load-Balancing + Fault-Tolerant Systems Parallel and Distributed Algorithms and Applications;

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Reinforcement Learning for Finance

This book introduces reinforcement learning with mathematical theory and practical examples from quantitative finance using the TensorFlow;

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