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Generated Dynamics of Markov and Quantum Processes

This book presents Markov and quantum processes as two sides of a coin called generated stochastic processes. It deals with quantum;

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Quantum Quadratic Operators and Processes

of quadratic stochastic operators and their Markov and related processes. The asymptotic behavior of dynamical systems generated by classical and;

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Quantum Stochastics

, quantum Markov semigroups and processes, and large-time asymptotic behavior of quantum Markov semigroups.;

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Nonlinear Markov Processes And Kinetic Equations

A nonlinear Markov evolution is a dynamical system generated by a measure-valued ordinary differential equation with the specific feature;

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Markov Processes and Quantum Theory

, important applications are given. Readers will learn about new mathematical methods (theory of stochastic processes) in solving problems of quantum;

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Quantum Probability And Related Topics - Proceedings Of The 28th Conference

interacting Fock space and orthogonal polynomials, quantum Markov semigroups, infinitely divisible processes, free probability, white noise, quantum;

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Population Dynamics

several dynamical systems of biological models such as dynamics generated by Markov processes of cubic stochastic matrices; dynamics of sex-linked;

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Quantum Brownian Motion in C-Numbers

equation methods primarily within weak-coupling and Markov approximations, path integral approach to quantum Brownian motion attracted wide;

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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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Random Motions in Markov and SemiMarkov Random Environments 2

part contains applications of Markov and semi-Markov motions in mathematical finance. It includes applications of telegraph processes;

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Stochastic Analysis And Mathematical Physics (Anestoc '96) - Proceedings Of The 2nd International Workshop

method is illus- trated with a quantum extension of a classical birth and death process. Quantum extensions of classical Markov processes lead to;

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Stochastic Analysis and Applications in Physics

the mathematics of Markov processes and the physics of quantum systems. The deterministic-stochastic interface is addressed, as are Euclidean;

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The Theory Of Open Quantum Systems

of quantum mechanics with particular emphasis on its statistical interpretation. The fundamentals of density matrix theory, quantum Markov processes;

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Quantum Brownian Motion Revisited

the main techniques aimed to treat the dynamics of the quantum Brownian particle: Born-Markov master equation, Lindblad equation and;

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Markov Chains and Decision Processes for Engineers and Managers

Markov decision processes in a single volume, Markov Chains and Decision Processes for Engineers and Managers supplies a highly detailed;

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Markov Chains and Decision Processes for Engineers and Managers

Markov decision processes in a single volume, Markov Chains and Decision Processes for Engineers and Managers supplies a highly detailed;

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Markov Processes

Clear, rigorous, and intuitive, Markov Processes provides a bridge from an undergraduate probability course to a course in stochastic;

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Markov Processes and Applications

, Professor at Universite de Paris-Orsay, France. Markov processes is the class of stochastic processes whose past and future are conditionally;

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Stochastic Analysis for Gaussian Random Processes and Fields

Stochastic Analysis for Gaussian Random Processes and Fields: With Applications presents Hilbert space methods to study deep analytic;

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Stochastic Analysis for Gaussian Random Processes and Fields

Stochastic Analysis for Gaussian Random Processes and Fields: With Applications presents Hilbert space methods to study deep analytic;

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Semi-Dirichlet Forms and Markov Processes

This book deals with analytic treatments of Markov processes. Symmetric Dirichlet forms and their associated Markov processes are important;

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Quantum Monte Carlo Approaches for Correlated Systems

Markov chains and Langevin dynamics, which are developed into a discussion of Monte Carlo methods. The variational technique is described, from;

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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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Asymptotic Properties of Permanental Sequences

in stochastic processes, infinitely divisible processes and Markov chains.;

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Markov-modulated Processes And Semiregenerative Phenomena

The book presents a coherent treatment of Markov random walks and Markov additive processes together with their applications. Part I;

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Dynamics of Statistical Experiments

methods for the operator and martingale characterization of Markov processes, including singular perturbation methods. Furthermore, they justify;

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London Mathematical Society Lecture Note Series

Hidden Markov processes (HMPs) are important objects of study in many areas of pure and applied mathematics, including information theory;

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