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Introduction to the Numerical Solution of Markov Chains

detailed treatment of the numerical solution of Markov chains, William Stewart provides scientists on many levels with the power to put this theory;

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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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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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Introduction to Hidden Semi-Markov Models

to the subject by first developing the theory of Markov processes in an elementary discrete time, finite state framework suitable for senior;

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Markov Chains and Decision Processes for Engineers and Managers

description of the construction and solution of Markov models that facilitates their application to diverse processes. Organized around Markov;

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Markov Chains and Decision Processes for Engineers and Managers

description of the construction and solution of Markov models that facilitates their application to diverse processes. Organized around Markov;

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Probability and Statistics with Reliability, Queuing, and Computer Science Applications

engineering. The author uses Markov chains and other statistical tools to illustrate processes in reliability of computer systems and networks, fault;

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Markov Processes and Applications

include: * The Monte Carlo method, discrete time Markov chains, the Poisson process and continuous time jump Markov processes.* An introduction to;

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Probability and Statistics with Reliability, Queuing and Computer Science Applications

engineering. The author uses Markov chains and other statistical tools to illustrate processes in reliability of computer systems and networks, fault;

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A First Course in Probability and Markov Chains

in Probability and Markov Chains presents an introduction to the basic elements in probability and focuses on two main areas. The first part explores;

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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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Finite Markov Processes and Their Applications

finite Markov chain theory that offers examples of applicable models.The text advances to studies of two basic types of homogeneous finite;

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Markov Chains

Chains: From Theory to Implementation and Experimentation begins with a general introduction to the history of probability theory in which the;

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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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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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Applications of Markov Chains in Chemical Engineering

Markov chains make it possible to predict the future state of a system from its present state ignoring its past history. Surprisingly;

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Performance Modeling of Communication Networks with Markov Chains

from these Markov chains and how they can be used to compute the system performance metric. The solution methodologies include a balance;

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Markov Chains

Markov chains are central to the understanding of random processes. This is not only because they pervade the applications of random;

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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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Approximate Quantum Markov Chains

This book is an introduction to quantum Markov chains and explains how this concept is connected to the question of how well a lost quantum;

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Markov Chains

This is the revised and augmented edition of a now classic book which is an introduction to sub-Markovian kernels on general measurable;

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Markov Chains and Mixing Times

This book is an introduction to the modern approach to the theory of Markov chains. The main goal of this approach is to determine the rate;

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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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Probabilities of Counting Codes

and which can be numerically solved by the related Markov chains. The target is to enable a non-numerical discussion of the topic. It is shown;

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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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Martingales and Markov Chains

exposition of the theory, Martingales and Markov Chains: Solved Exercises and Elements of Theory presents, more than 100 exercises related to;

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Martingales and Markov Chains

exposition of the theory, Martingales and Markov Chains: Solved Exercises and Elements of Theory presents, more than 100 exercises related to;

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