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Random Geometrically Graph Directed Self-Similar Multifractals

mathematicians. This new work presents the latest research on random results on random multifractals and the physical thermodynamical interpretation;

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Random Geometrically Graph Directed Self-Similar Multifractals

mathematicians. This new work presents the latest research on random results on random multifractals and the physical thermodynamical interpretation;

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Multifractals and 1/ Noise

, Mandelbrot defends the view that multifractals are intimately interrelated through the two fractal themes of wildness and self-affinity . This link;

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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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Large Deviations for Random Graphs

This book addresses the emerging body of literature on the study of rare events in random graphs and networks. For example, what does a;

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An Introduction to Exponential Random Graph Modeling

Explaining the techniques and applications of exponential random graph modeling (ERGM) for social scientists, this is a uniquely;

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Exponential Random Graph Models for Social Networks

Exponential random graph models (ERGMs) are increasingly applied to observed network data and are central to understanding social structure;

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Exponential Random Graph Models for Social Networks

Exponential random graph models (ERGMs) are increasingly applied to observed network data and are central to understanding social structure;

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Random Graph Dynamics

The theory of random graphs began in the late 1950s in several papers by Erdos and Renyi. In the late twentieth century, the notion of six;

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Random Walks and Heat Kernels on Graphs

This introduction to random walks on infinite graphs gives particular emphasis to graphs with polynomial volume growth. It offers an;

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Random Graphs

author. The addition of two new sections, numerous new results and 150 references means that this represents a comprehensive account of random;

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Random Graphs

author. The addition of two new sections, numerous new results and 150 references means that this represents a comprehensive account of random;

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Graph Searching Games and Probabilistic Methods

Graph Searching Games and Probabilistic Methods is the first book that focuses on the intersection of graph searching games and;

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Graph Searching Games and Probabilistic Methods

Graph Searching Games and Probabilistic Methods is the first book that focuses on the intersection of graph searching games and;

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Stable Non Gaussian Self Similar Processes with Stationary Increments

This book provides a self-contained presentation on the structure of a large class of stable processes, known as self-similar mixed moving;

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Modern Graph Theory

Szemerédis Regularity Lemma and its use, Shelahs extension of the Hales-Jewett Theorem, the precise nature of the phase transition in a random graph;

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Probability Theory and Statistical Applications

of random variables. The book is directed to students of mathematics, statistics, engineering, and other quantitative sciences, in particular to;

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Fractals and Chaos in Geology and Geophysics

The fundamental concepts of fractal geometry and chaotic dynamics, along with the related concepts of multifractals, self-similar time;

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A Java Library of Graph Algorithms and Optimization

begins with a chapter on random graph generation that examines bipartite, regular, connected, Hamilton, and isomorphic graphs as well as spanning;

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A Java Library of Graph Algorithms and Optimization

book begins with a chapter on random graph generation that examines bipartite, regular, connected, Hamilton, and isomorphic graphs as well as;

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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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Discrete Networked Dynamic Systems

. Numerous types of graphs exist in the literature, depending on the edge set of G. A simple graph has no self-loop or edges. Complete graphs are;

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Probabilistic Methods in Geometry, Topology and Spectral Theory

field theory, and random graph theory. Its emphasis was on the use of ideas and methods from probability in different areas, such as quantum;

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Quantitative Graph Theory

concepts and methods, including those pertaining to real and random graphs such as: Comparative approaches (graph similarity or;

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Quantitative Graph Theory

concepts and methods, including those pertaining to real and random graphs such as: Comparative approaches (graph similarity or;

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