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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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Guide to Graph Algorithms

supporting material at an accompanying website. This practical guide to the design and analysis of graph algorithms is ideal for advanced and;

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Graph Algorithms Practical Examples in Apache Spark and Neo4j

Learn how graph algorithms can help you leverage relationships within your data to develop intelligent solutions and enhance your machine;

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Algorithms in C++ Part 5

processing, and resource allocation. The latest in Robert Sedgewick's classic series on algorithms, this is the field's definitive guide to graph;

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Algebraic Graph Algorithms

This textbook discusses the design and implementation of basic algebraic graph algorithms, and algebraic graph algorithms for complex;

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Graph Algorithms And Applications 3

to the publication of high-quality research papers on the analysis, design, implementation, and applications of graph algorithms. Areas;

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Graph Algorithms And Applications 5

to the publication of high-quality research papers on the analysis, design, implementation, and applications of graph algorithms. Areas;

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Graph Algorithms And Applications 4

to the publication of high-quality research papers on the analysis, design, implementation, and applications of graph algorithms. Areas;

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WALCOM: Algorithms and Computation

102 submissions. The papers feature original research in the areas of design and analysis of algorithms, computational geometry, graph drawing;

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Group-Theoretic Algorithms and Graph Isomorphism

Group-Theoretic Algorithms and Graph Isomorphism is een boek van C.M. Hoffmann;

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WALCOM: Algorithms and Computation

papers cover a wide range of topics such as approximation algorithms, computational complexity, computational geometry, data structures, graph;

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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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Graph Theory: An Introduction to Proofs, Algorithms, and Applications

Graph Theory: An Introduction to Proofs, Algorithms, and Applications Graph theory is the study of interactions, conflicts, and;

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Graph Theory: An Introduction to Proofs, Algorithms, and Applications

Graph Theory: An Introduction to Proofs, Algorithms, and Applications Graph theory is the study of interactions, conflicts, and;

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Quantum Algorithms for Graph and Algebra Problems

. Quantum computing has the potential to demonstrate that for some problems quantum computation is more efficient than classical computation;

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A Java Library of Graph Algorithms and Optimization

Because of its portability and platform-independence, Java is the ideal computer programming language to use when working on graph;

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A Java Library of Graph Algorithms and Optimization

Because of its portability and platform-independence, Java is the ideal computer programming language to use when working on graph;

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Graph Drawing

Designed for use in a variety of courses including Information Visualization, Human-Computer Interaction, Graph Algorithms, Computational;

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Planar Graph Drawing

The book presents the important fundamental theorems and algorithms on planar graph drawing with easy-to-understand and constructive proofs;

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WALCOM: Algorithms and Computation

on algorithmic graph theory and combinatorics, computational biology, computational geometry, data structures, experimental algorithm;

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Algorithms on Trees and Graphs

Graph algorithms is a well-established subject in mathematics and computer science. Beyond classical application fields, such as;

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Distributed Graph Analytics

, revealing various parallelization patterns encountered, especially when dealing with graphs. The second part uses these patterns to provide language;

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Distributed Graph Analytics

, revealing various parallelization patterns encountered, especially when dealing with graphs. The second part uses these patterns to provide language;

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Topics in Algorithmic Graph Theory

material on developments on graph algorithms and related concepts that will be of value to both mathematicians and computer scientists, at a level;

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Biological Network Analysis

Biological Network Analysis: Trends, Approaches, Graph Theory, and Algorithms considers three major biological networks, including Gene;

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Graph-Based Semi-Supervised Learning

. In a separate line of work, researchers have started to realize that graphs provide a natural way to represent data in a variety of domains;

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