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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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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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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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Finite Markov Processes and Their Applications

Markov chains: absorbing and ergodic chains. A complete study of the general properties of homogeneous chains follows. Succeeding chapters;

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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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Non-Homogeneous Markov Chains and Systems

Features A broad and accessible overview of non-homogeneous Markov chains and systems Fills a significant gap in the current literature A;

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Structure Of Hilbert Space Operators

This book exposes the internal structure of non-self-adjoint operators acting on complex separable infinite dimensional Hilbert space, by;

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Strongly Irreducible Operators on Hilbert Space

space, and to expose and reflect the internal structure of operators by analyzing and studying irreducibility of operators. Much of the material;

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From Markov Chains To Non-equilibrium Particle Systems (2nd Edition)

treatment of general Markov jump processes: uniqueness, various types of ergodicity, Markovian couplings, reversibility, spectral gap, etc. It also;

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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

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

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

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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 & Stochastic Stability

Meyn and Tweedie is back! The bible on Markov chains in general state spaces has been brought up to date to reflect developments in the;

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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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Performance Modeling of Communication Networks with Markov Chains

This book is an introduction to Markov chain modeling with applications to communication networks. It begins with a general introduction to;

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Pseudo Differential Operators & Markov Processes

In this volume two topics are discussed: the construction of Feller and Lp-sub-Markovian semigroups by starting with a pseudo-differential;

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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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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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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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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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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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Random Dynamical Systems

of irreducible Markov processes, especially Markov chains, is surveyed in Chapter 2. Equilibrium and long run stability of a dynamical system in which;

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Random Dynamical Systems

of irreducible Markov processes, especially Markov chains, is surveyed in Chapter 2. Equilibrium and long run stability of a dynamical system in which;

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