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Handbook of Graph Theory, Combinatorial Optimization, and Algorithms

The fusion between graph theory and combinatorial optimization has led to theoretically profound and practically useful algorithms, yet;

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Combinatorial Algorithms

others); combinatorics on words; combinatorial enumeration; combinatorial optimization; complexity theory; computational biology; compression;

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Combinatorial Optimization and Applications

, network optimization, combinatorial algorithms, approximation algorithms, paths and connectivity problems and much more.;

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Combinatorial Optimization: Theory And Algorithms

This comprehensive textbook on combinatorial optimization puts special emphasis on theoretical results and algorithms with provably good;

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Handbook of Semidefinite Programming

in combinatorial optimization and control theory, the development of efficient interior-point algorithms for solving SDP problems, and the depth and;

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Handbook of Semidefinite Programming

in combinatorial optimization and control theory, the development of efficient interior-point algorithms for solving SDP problems, and the depth and;

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Combinatorial Algorithms

of 69 submissions. The papers focus on topics such as Algorithms and Data Structures, Combinatorial Enumeration, Combinatorial Optimization;

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Algorithms and Discrete Applied Mathematics

102 submissions. The papers are organized in topical sections on graph algorithms, graph theory, combinatorial optimization, distributed;

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Parallel Combinatorial Optimization

of parallel and distributed optimization. Collectively, the contributions serve as a complete reference to the field of combinatorial optimization;

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Brits Speak Out

This work introduces concepts and algorithms in optimization theory for neural network research, covers the main neural network models and;

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Iterative Methods In Combinatorial Optimization

courses in combinatorial optimization at the upper undergraduate and beginning graduate levels. Discussions of advanced applications illustrate;

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Iterative Methods in Combinatorial Optimization

courses in combinatorial optimization at the upper undergraduate and beginning graduate levels. Discussions of advanced applications illustrate;

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Gems of Combinatorial Optimization and Graph Algorithms

Are you looking for new lectures for your course on algorithms, combinatorial optimization, or algorithmic game theory? Maybe you need a;

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Proceedings of the International Workshop on Combinatorial Algorithms 2008

& Strings * Combinatorial Optimization * Cryptography & Information Security * Computational Biology * Communications Networks and many other;

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Artificial Evolution

colony optimization, applications, combinatorial and discrete optimization, memetic algorithms, genetic programming, interactive evolution;

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Polyhedral and Semidefinite Programming Methods in Combinatorial Optimization

Since the early 1960s, polyhedral methods have played a central role in both the theory and practice of combinatorial optimization. Since;

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Combinatorial Optimization

from 98 submissions. They present original research on all aspects of combinatorial optimization, such as algorithms and complexity;

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Combinatorial Optimization

reviewed and selected from 97 submissions. They present original research on all aspects of combinatorial optimization, such as algorithms and;

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LATIN 2018: Theoretical Informatics

, combinatorial algorithms, combinatorial optimization, combinatorics and graph theory, complexity theory, computational algebra, computational biology;

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Advances in Bio-inspired Computing for Combinatorial Optimization Problems

natural computing frameworks. The reader is presumed to have knowledge of combinatorial optimization, graph theory, algorithms and programming;

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Dynamic Programming Multi-Objective Combinatorial Optimization

optimization and for counting the solutions in the framework of this model. As applications, this book studies eleven known combinatorial optimization;

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Dynamic Programming Multi-Objective Combinatorial Optimization

optimization and for counting the solutions in the framework of this model. As applications, this book studies eleven known combinatorial optimization;

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Combinatorial Optimization Problems in Planning and Decision Making

The book focuses on the next fields of computer science: combinatorial optimization, scheduling theory, decision theory, and computer-aided;

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Data Correcting Approaches in Combinatorial Optimization

classes of combinatorial optimization problems. Researches, students and engineers will benefit from new bounds and branching rules;

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Linear and Integer Optimization

, machine learning (support vector machines), combinatorial optimization, approximation algorithms, and game theory. Besides the fresh new layout;

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Submodular Functions and Optimization

submodular functions, which is essential to students and researchers interested in combinatorial optimization, discrete mathematics, and discrete;

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Combinatorial Optimization in Communication Networks

. The objective of the book is to advance and promote the theory and applications of combinatorial optimization in communication networks. Each;

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