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Fast Parallel Algorithms for Graph Matching Problems

algorithms for graph matching problems. The text is written for students at the beginning graduate level. The exposition is mostly self-contained and;

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Graph-Based Representations in Pattern Recognition

analysis, and graph theory. They cover topics such as graph edit distance, graph matching, machine learning for graph problems, network and graph;

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Guide to Graph Algorithms

comparative analysis of sequential, parallel and distributed graph algorithms - including algorithms for big data - and an investigation into the;

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Quantum Algorithms for Graph and Algebra Problems

maximum flow algorithms. In the main part of this book, Sebastian Dorn gives new quantum algorithms for matching problems, graph traversal;

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Shared-Memory Parallelism Can Be Simple, Fast, and Scalable

framework for parallel graph traversal algorithms. The framework allows programmers to express graph traversal algorithms using very short and;

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Shared-Memory Parallelism Can Be Simple, Fast, and Scalable

framework for parallel graph traversal algorithms. The framework allows programmers to express graph traversal algorithms using very short and;

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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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Analysis of Algorithms

algorithms; and the elements of numeric, matching, graph, parallel, nondeterministic, greedy approximation, and probabilistic algorithms. Study;

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Algorithms and Complexity

illustrate the tools for algorithm analysis. Recursive algorithms are illustrated by Quicksort, FFT, fast matrix multiplications, and others;

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Algorithms and Complexity

illustrate the tools for algorithm analysis. Recursive algorithms are illustrated by Quicksort, FFT, fast matrix multiplications, and others;

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A Java Library of Graph Algorithms and Optimization

Library of Graph Algorithms and Optimization provides the source code for a library of Java programs that can be used to solve problems in graph;

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A Java Library of Graph Algorithms and Optimization

Library of Graph Algorithms and Optimization provides the source code for a library of Java programs that can be used to solve problems in graph;

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Design and Analysis of Algorithms

applications to contemporary problems. Techniques including Fast Fourier transform, KMP algorithm for string matching, CYK algorithm for context free;

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Topics in Algorithmic Graph Theory

Algorithmic graph theory has been expanding at an extremely rapid rate since the middle of the twentieth century, in parallel with the;

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Flexible Text Searching

linear processor array architectures for flexible exact and approximate string matching. These architectures are based on parallel realisation;

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Fast Fourier Transform Algorithms for Parallel Computers

Following an introduction to the basis of the fast Fourier transform (FFT), this book focuses on the implementation details on FFT for;

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Fast Fourier Transform Algorithms for Parallel Computers

Following an introduction to the basis of the fast Fourier transform (FFT), this book focuses on the implementation details on FFT for;

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WALCOM: Algorithms and Computation

methodologies, graph algorithms, graph drawing, parallel and distributed algorithms, network optimization.;

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Graph Theory Applications

, matching, digraphs, networks, matrices of a graph, graph theoretic algorithms, and matroids. These concepts are then applied in the second part to;

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Parallel Processing of Discrete Problems

of parallel computers has created substantial interest in exploring the use of parallel processing for solving discrete and global optimization;

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Computer Algorithms

Introduces the basic concepts and characteristics of string pattern matching strategies and provides numerous references for further;

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Distributed Graph Analytics

, parallel computing and GPUs. Moreover it presents a case study using Falcon, a domain-specific language for graph algorithms, to illustrate the;

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Distributed Graph Analytics

, parallel computing and GPUs. Moreover it presents a case study using Falcon, a domain-specific language for graph algorithms, to illustrate the;

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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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Large-Scale Scientific Computing

problems. The chapter 'Parallel Aggregation Based on Compatible Weighted Matching for AMG' is available open access under a CC BY 4.0 license.;

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Combinatorial Pattern Matching Algorithms in Computational Biology Using Perl and R

Emphasizing the search for patterns within and between biological sequences, trees, and graphs, Combinatorial Pattern Matching Algorithms;

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