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Graph Directed Markov Systems

iterated function system - a Graph Directed Markov System. These systems are very robust in that they apply to many settings that do not fit into;

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Open Conformal Systems and Perturbations of Transfer Operators

) countable alphabets, uniformly contracting conformal graph-directed Markov systems, and in particular, conformal countable alphabet iterated;

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Handbook of Graph Drawing and Visualization

, and force-directed methods. The book then introduces the GraphML language for representing graphs and their drawings and describes three;

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Handbook of Graph Drawing and Visualization

, and force-directed methods. The book then introduces the GraphML language for representing graphs and their drawings and describes three;

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Graphical Models for Machine Learning and Digital Communication

learning, data compression, and channel coding. Using probabilistic structures such as Bayesian belief networks and Markov random fields, he;

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Near Rings, Fuzzy Ideals, and Graph Theory

in graph theory, including directed hypercubes, dimension, prime graphs, and graphs with respect to ideals in near rings. Near ring theory;

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Near Rings, Fuzzy Ideals, and Graph Theory

in graph theory, including directed hypercubes, dimension, prime graphs, and graphs with respect to ideals in near rings. Near ring theory;

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W*-Corresponcences, Finite Directed Graphs and Markov Chains

. We show that X is naturally isomorphic to the correspondence associated to the directed graph E whose vertex space is E(0) and whose edge;

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Group Inverses of M-Matrices and Their Applications

, graph theory, electrical networks, and demographic models. Group Inverses of M-Matrices and Their Applications highlights the importance and;

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Stochastic Systems In Merging Phase Space

integral functionals, increment processes and impulsive processes. All these systems are switched by Markov and semi-Markov processes whose phase;

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D3.js Quick Start Guide

to make a scatter plot, a bar graph, a pie chart, a force directed graph, and a map. Key Features Takes you through the most common graphs;

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Formation Control of MultiAgent Systems

Formation Control of Multi-Agent Systems: A Graph Rigidity Approach Marcio de Queiroz, Louisiana State University, USA Xiaoyu Cai, FARO;

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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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Bond Graph Model-based Fault Diagnosis of Hybrid Systems

This book presents bond graph model-based fault detection with a focus on hybrid system models. The book addresses model design, simulation;

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Markov Processes for Stochastic Modeling

Markov processes are processes that have limited memory. In particular, their dependence on the past is only through the previous state;

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Markov-modulated Processes And Semiregenerative Phenomena

The book presents a coherent treatment of Markov random walks and Markov additive processes together with their applications. Part I;

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Querying Graphs

Graph data modeling and querying arises in many practical application domains such as social and biological networks where the primary;

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Markov Chains

This new edition of Markov Chains: Models, Algorithms and Applications has been completely reformatted as a text, complete with end;

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Handbook Of Graph Grammars And Computing By Graph Transformation - Volume 2

Graph grammars originated in the late 60s, motivated by considerations about pattern recognition and compiler construction. Since then, the;

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Graph Databases in Action

Graph Databases in Action teaches readers everything they need to know to begin building and running applications powered by graph;

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Quantitative Graph Theory

The first book devoted exclusively to quantitative graph theory, Quantitative Graph Theory: Mathematical Foundations and Applications;

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Quantitative Graph Theory

The first book devoted exclusively to quantitative graph theory, Quantitative Graph Theory: Mathematical Foundations and Applications;

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Semi-Markov Models

Featuring previously unpublished results, Semi-Markov Models: Control of Restorable Systems with Latent Failures describes;

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Fuzzy Graph Theory with Applications to Human Trafficking

new concepts, such as intuitionistic fuzzy graphs, the concept of independence and domination in fuzzy graphs, as well as directed fuzzy;

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SAS/Graph

Robert Allison's SASGRAPH: Beyond the Basics collects examples that demonstrate a variety of techniques you can use to create custom;

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Stochastic Modeling and Analysis of Telecom Networks

as Markov processes, real and spatial point processes and stochastic recursions, and presenting a wide list of results on stability;

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