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Foundations of Average-Cost Nonhomogeneous Controlled Markov Chains

This Springer brief addresses the challenges encountered in the study of the optimization of time-nonhomogeneous Markov chains. It;

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Finite Markov Processes and Their Applications

basics of nonhomogeneous finite Markov chain theory; and a study of Markovian dependence in continuous time, which constitutes an elementary;

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Selected Topics on Continuous-Time Controlled Markov Chains and Markov Games

This book concerns continuous-time controlled Markov chains, also known as continuous-time Markov decision processes. They form a class;

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Markov Chains & Stochastic Stability

Markovian models, or algorithms for computation of optimal policies for controlled Markov models, has opened new directions for research on Markov;

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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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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 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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Markov Chains

spaces and their associated homogeneous Markov chains. The first part, an expository text on the foundations of the subject, is intended for post;

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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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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

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

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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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Understanding Markov Chains

This book provides an undergraduate-level introduction to discrete and continuous-time Markov chains and their applications, with a;

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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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Simulation Modeling and Benefit-Cost Analysis for Technology Adoption

) was used to estimate associated costs and benefits for each participant in this supply chain. Finally, benefit-cost ratios were simulated to assess;

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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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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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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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Applied Probability Models with Optimization Applications

useful treatment of the Poisson process, including compound and nonhomogeneous Poisson processes. Subsequent chapters deal with such topics as;

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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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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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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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