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

modeling, wireless system modeling, numerical solution techniques for Markov chains, and software reliability modeling, among other subjects;

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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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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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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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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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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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Probability and Statistics with Reliability, Queuing and Computer Science Applications

modeling, wireless system modeling, numerical solution techniques for Markov chains, and software reliability modeling, among other subjects;

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Markov Chains

solutions as well as extended case studies. A detailed and rigorous presentation of Markov chains with discrete time and state space. An appendix;

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Markov Processes and Applications

This well-written book provides a clear and accessible treatment of the theory of discrete and continuous-time Markov chains, with an;

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Martingales and Markov Chains

martingales and Markov chains with a countable state space, each with a full and detailed solution. The authors begin with a review of the basic;

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Martingales and Markov Chains

martingales and Markov chains with a countable state space, each with a full and detailed solution. The authors begin with a review of the basic;

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Markov Chains

A fascinating and instructive guide to Markov chains for experienced users and newcomers alike This unique guide to Markov chains;

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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 And Dependability Theory

, Markov models, describing both basic results and specialised techniques. The authors first present both discrete and continuous time Markov;

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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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Self-Learning Control of Finite Markov Chains

for both unconstrained and constrained finite Markov chains-efficiently processing new information by adjusting the control strategies;

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Self-Learning Control of Finite Markov Chains

for both unconstrained and constrained finite Markov chains-efficiently processing new information by adjusting the control strategies;

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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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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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