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Gems of Combinatorial Optimization and Graph Algorithms

theoretical computer science? Gems of Combinatorial Optimization and Graph Algorithms is a handpicked collection of up-to-date articles;

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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 Optimization and Applications

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

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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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Combinatorial Algorithms

, probabilistic, randomised, and on-line algorithms), algorithms on strings and graphs; applications (bioinformatics, music analysis, networking, 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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WALCOM: Algorithms and Computation

submissions. The papers are organized in topical sections on invited talks; computational geometry; combinatorial optimization; graph drawing; graph;

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Discrete Problems in Nature Inspired Algorithms

This book includes introduction of several algorithms which are exclusively for graph based problems, namely combinatorial optimization;

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Discrete Problems in Nature Inspired Algorithms

This book includes introduction of several algorithms which are exclusively for graph based problems, namely combinatorial optimization;

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Frontiers in Algorithmics

, approximation algorithms, combinatorial optimization, parameterized algorithms, and online algorithms.;

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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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Combinatorial Optimization and Applications

This volume constitutes the proceedings of the 14th International Conference on Combinatorial Optimization and Applications, COCOA 2020;

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Optimization Problems in Graph Theory

This book presents open optimization problems in graph theory and networks. Each chapter reflects developments in theory and applications;

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Algorithms on Trees and Graphs

approximation, combinatorial optimization, graphics, and operations research, graph algorithms have recently attracted increased attention from;

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Combinatorial Algorithms

programming; combinatorial algorithms; graph algorithms; combinatorics; and probabilistics.;

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A Java Library of Graph Algorithms and Optimization

algorithms and other mathematical programming problems. Collecting some of the most popular graph algorithms and optimization procedures, A Java;

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A Java Library of Graph Algorithms and Optimization

algorithms and other mathematical programming problems. Collecting some of the most popular graph algorithms and optimization procedures, A Java;

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Data Structures and Network Algorithms

and especially in graph theory, but also on the development of new data structures and new techniques for analyzing algorithms. Four classical;

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Combinatorial Algorithms

carefully reviewed and selected from a total of 85 submissions. A broad variety of combinatorial graph algorithms for the computations of various;

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Large scale Graph Analysis System Algorithm and Optimization

This book introduces readers to a workload-aware methodology for large-scale graph algorithm optimization in graph-computing systems, and;

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Large scale Graph Analysis System Algorithm and Optimization

This book introduces readers to a workload-aware methodology for large-scale graph algorithm optimization in graph-computing systems, and;

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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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Evolutionary Computation in Combinatorial Optimization

combinatorial optimization problems. Fundamental and methodological aspects deal with runtime analysis, the structural properties of fitness landscapes;

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Graphs and Combinatorial Optimization: from Theory to Applications

This book highlights new and original contributions on Graph Theory and Combinatorial Optimization both from the theoretical point of view;

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Combinatorial Optimization and Applications

submissions. The papers are organized in topical sections such as graph theory, geometric optimization, complexity and data structure, combinatorial;

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Evolutionary Computation in Combinatorial Optimization

to both single- and multi-objective combinatorial optimization problems. Fundamental and methodological aspects deal with runtime analysis;

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