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Graph Partitioning

Graph partitioning is a theoretical subject with applications in many areas, principally: numerical analysis, programs mapping onto;

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Tree-based Graph Partitioning Constraint

Combinatorial problems based on graph partitioning enable us to mathematically represent and model many practical applications. Mission;

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Creativity in Load-Balance Schemes for Multi/Many-Core Heterogeneous Graph Computing

-balance schemes for heterogeneous graph processing, and trends and challenges in large-scale HPC network analysis''--;

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Efficient Memoization Algorithms for Query Optimization

preserving optimality. Hence, this book focuses on the top-down join enumeration. In the first part, we present two efficient graph-partitioning;

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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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A Graph Theoretic Approach to Heterogeneous Data Clustering

present a novel graph theoretic approach to perform pairwise heterogeneous data co-clustering. We then propose Isoperimetric Co-clustering;

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Matrix Methods in Data Mining and Pattern Recognition

. Building on material from the first edition, the author discusses basic graph concepts and their matrix counterparts. He introduces the graph;

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Advances and Applications of Partitioning Bioreactors

Advances and Applications of Partitioning Bioreactors, Volume 54, presents an updated reference ;...

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Stratified Data Partitioning in Artificial Neural Network

The statistical properties of training, validation and test data play an important role in assuring ;...

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Approximation and Online Algorithms

invited paper in this book were carefully reviewed and selected from 44 submissions. Topics of interest for WAOA 2016 were: graph algorithms;

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Approximation and Online Algorithms

invited paper in this book were carefully reviewed and selected from 38 submissions. Topics of interest for WAOA 2018 were: graph algorithms;

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Simplicial Global Optimization

Simplicial Global Optimization is centered on deterministic covering methods partitioning feasible r;...

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Discrete Mathematics and Graph Theory

This comprehensive text provides a thorough understanding of the concepts and applications of discrete mathematics and graph theory. It;

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Discrete Mathematics and Graph Theory

This comprehensive text provides a thorough understanding of the concepts and applications of discrete mathematics and graph theory. It;

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BIOMAT

paleodemography of New Zealand and a comprehensive review on complex food webs. Contributions on computational biology include the use of graph;

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Task Partitioning

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Big Data Analytics

, cytome and microbiome; graphs and networks; Internet of Things; Big Data standards; bench-marking of systems; and others. In addition to;

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Evolutionary Computation in Combinatorial Optimization

, and their careful selection and configuration. Applications cover domains such as scheduling, routing, partitioning and general graph problems.;

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Hardware/Software Partitioning

Hardware/software co-design (HSCD) aims at automating the design of complex embedded systems with fu;...

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Graph Polynomials

This book covers both theoretical and practical results for graph polynomials. Graph polynomials have been developed for measuring;

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Graph Polynomials

This book covers both theoretical and practical results for graph polynomials. Graph polynomials have been developed for measuring;

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Graph-Based Representations in Pattern Recognition

This book constitutes the refereed proceedings of the 12th IAPR-TC-15 International Workshop on Graph-Based Representation in Pattern;

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Human Interaction with Graphs

Interacting with graphs using queries has emerged as an important research problem for real-world applications that center on large graph;

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The Practitioner's Guide to Graph Data Applying Graph Thinking and Graph Technologies to Solve Complex Problems

Graph data closes the gap between the way humans and computers view the world. While computers rely on static rows and columns of data;

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Chromatic Graph Theory

Beginning with the origin of the four color problem in 1852, the field of graph colorings has developed into one of the most popular areas;

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Graph-Based Representations in Pattern Recognition

This book constitutes the refereed proceedings of the 10th IAPR-TC-15 International Workshop on Graph-Based Representations in Pattern;

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