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Quantum Stochastics

background is knowledge of the basic theory of Hilbert spaces, bounded linear operators, and classical Markov processes. From there, the book;

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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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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 Quadratic Operators and Processes

Covering both classical and quantum approaches, this unique and self-contained book presents the most recent developments in the theory;

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Semi-Dirichlet Forms and Markov Processes

and powerful tools in the theory of Markov processes and their applications. The theory is well studied and used in various fields. In this;

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Markov Processes and Potential Theory

This advanced text explores the relationship between Markov processes and potential theory, in addition to aspects of the theory;

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Stochastics, Control and Robotics

This book discusses various problems in stochastic Processes, Control Theory, Electromagnetics, Classical and Quantum Field Theory;

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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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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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Symmetric Markov Processes, Time Change, and Boundary Theory (LMS-35)

This book gives a comprehensive and self-contained introduction to the theory of symmetric Markov processes and symmetric quasi-regular;

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An Introduction to Markov Processes

Provides a more accessible introduction than other books on Markov processes by emphasizing the structure of the subject and avoiding;

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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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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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Hidden Markov Processes

, such as ergodicity of Markov processes, Markov Chain Monte Carlo (MCMC), information theory, and large deviation theory for both i.i.d and;

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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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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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Boundary Value Problems and Markov Processes: Functional Analysis Methods for Markov Processes

, Markov processes and the theory of pseudo-differential operators, a modern version of the classical potential theory.;

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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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Semi-Markov Processes

Semi-Markov Processes: Applications in System Reliability and Maintenance is a modern view of discrete state space and continuous time;

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Multidimensional Diffusion Processes

From the reviews: This book is an excellent presentation of the application of martingale theory to the theory of Markov processes;

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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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Labelled Markov Processes

Labelled Markov processes are probabilistic versions of labelled transition systems with continuous state spaces. The book covers basic;

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Markov Processes, Gaussian Processes, and Local Times

entrance for students and for experts in related fields. The book starts by developing the fundamentals of Markov process theory and then;

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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

sequences related to birth and death processes and autoregressive Gaussian sequences using techniques from the theory of Gaussian processes and;

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First Look At Stochastic Processes, A

times, branching processes, stock option pricing, and Markov Chain Monte Carlo (MCMC) algorithms.The focus is always on making the theory as;

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First Look At Stochastic Processes, A

times, branching processes, stock option pricing, and Markov Chain Monte Carlo (MCMC) algorithms.The focus is always on making the theory as;

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