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Numerical Methods in Markov Chains and Bulk Queues

Numerical Methods in Markov Chains and Bulk Queues is een boek van Tapan P. Bagchi;

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Stochastic Modeling in Physical and Biological Sciences

Discusses basic definitions, important properties and results on Markov Chains giving examples to understand the intricacies of the theory;

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Applied Discrete-Time Queues

Markov chains are included. This book covers single node systems, tandem system and queueing networks. It shows how queues with time-varying;

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Applied Discrete-Time Queues

Markov chains are included. This book covers single node systems, tandem system and queueing networks. It shows how queues with time-varying;

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Introduction to the Numerical Solution of Markov Chains

A cornerstone of applied probability, Markov chains can be used to help model how plants grow, chemicals react, and atoms diffuse--and;

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Probability, Markov Chains, Queues, and Simulation

Probability, Markov Chains, Queues, and Simulation provides a modern and authoritative treatment of the mathematical processes that;

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Structured Stochastic Matrices of M/G/1 Type and Their Applications

This book deals with Markov chains and Markov renewal processes (M/G/1 type). It discusses numerical difficulties which are apparently;

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Analysis of Queues

, exercises, case studies, paradoxes, and numerical examples. In addition to the standard single-station and single class discrete queues, the book;

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Analysis of Queues

, exercises, case studies, paradoxes, and numerical examples. In addition to the standard single-station and single class discrete queues, the book;

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Queueing Theory 1

interdependent arrival and service times, characteristics of fluid queues, modifications of retrial queueing systems and finite-source retrial queues;

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Markov Chains

with some background in basic probability theory, focuses on Markov chains and quickly develops a coherent and rigorous theory whilst showing;

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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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Markov Chains

solutions and fast numerical algorithms for solving the captured systems. In Chapter 4, the authors present a simple hidden Markov model (HMM) with;

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Numerical Solution of Markov Chains

Papers presented at a workshop held January 1990 (location unspecified) cover just about all aspects of solving Markov models numerically.;

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Ergodic Behavior of Markov Processes

The general topic of this book is the ergodic behavior of Markov processes. A detailed introduction to methods for proving ergodicity and;

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Introduction to Hidden Semi-Markov Models

Markov chains and hidden Markov chains have applications in many areas of engineering and genomics. This book provides a basic introduction;

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Communication And Computer Networks

introduces discrete-time queues at the simplest possible level. The chapters that follow cover probability theory and discrete-time Markov chains;

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Markov Chains and Mixing Times

of convergence of a Markov chain to the stationary distribution as a function of the size and geometry of the state space. The authors develop the key;

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Markov Chains and Decision Processes for Engineers and Managers

Recognized as a powerful tool for dealing with uncertainty, Markov modeling can enhance your ability to analyze complex production and;

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Markov Chains and Decision Processes for Engineers and Managers

Recognized as a powerful tool for dealing with uncertainty, Markov modeling can enhance your ability to analyze complex production and;

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Topics in the Constructive Theory of Countable Markov Chains

Markov chains are an important idea, related to random walks, which crops up widely in applied stochastic analysis. They are used, for;

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Topics in the Constructive Theory of Countable Markov Chains

Markov chains are an important idea, related to random walks, which crops up widely in applied stochastic analysis. They are used, for;

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Numerical Methods

Numerical Methods provides a clear and concise exploration of standard numerical analysis topics, as well as nontraditional ones, including;

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Finite Markov Processes and Their Applications

A self-contained treatment of finite Markov chains and processes, this text covers both theory and applications. Author Marius Iosifescu;

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General Irreducible Markov Chains and Non-Negative Operators

The purpose of this book is to present the theory of general irreducible Markov chains and to point out the connection between this and the;

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Markov Chains: Gibbs Fields, Monte Carlo Simulation and Queues

of this book is to initiate students in the art of stochastic modelling. However it is motivated by significant applications and progressively;

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Markov Chains

Markov Chains: Analytic and Monte Carlo Computations introduces the main notions related to Markov chains and provides explanations on how;

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