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Applied Stochastic Processes and Control for Jump Diffusions

computational science for a clear presentation of stochastic processes and control for jump-diffusions in continuous time. The author covers the;

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Applied Stochastic Control of Jump Diffusions

Here is a rigorous introduction to the most important and useful solution methods of various types of stochastic control problems for jump;

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Sliding Mode Control of Semi-Markovian Jump Systems

analysis of semi-Markovian jump systems via sliding mode control strategy which makes up the shortages in the analysis and design of stochastic;

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Encyclopedia of Mathematics and its Applications

comprehensive treatment of ergodic control, a problem that straddles stochastic control and the ergodic theory of Markov processes. The interplay;

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Stochastic Economic Dynamics

; investment and employment cycles; stochastic control theory; and risk aversion. The works collected in this book serves to bridge the old;

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Controlled Markov Processes and Viscosity Solutions

This book is intended as an introduction to optimal stochastic control for continuous time Markov processes and to the theory of viscosity;

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Advances in the Control of Markov Jump Linear Systems with No Mode Observation

Markov jump linear systems (MJLS). It also presents an algorithm that attempts to solve this open stochastic control problem, and provides a real;

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Stochastic Differential Geometry at Saint-Flour

Kunita, H.:Stochastic differential equations and stochastic flows of diffeomorphisms.-Elworthy, D.: Geometric aspects of diffusions on;

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Stochastic Processes in Cell Biology

equations and jump Markov processes, diffusion approximations and the system size expansion, first passage time problems, stochastic hybrid systems;

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Distribution of Statistical Observables for Anomalous and Nonergodic Diffusions

of statistical observables and stochastic systems and scientists in a broad range of fields interested in anomalous diffusion, especially applied;

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Optimal Design of Control Systems: Stochastic and Deterministic Problems (Pure and Applied Mathematics

"Covers design methods for optimal (or quasioptimal) control algorithms in the form of synthesis for deterministic and stochastic dynamical;

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Functionals of Multidimensional Diffusions with Applications to Finance

quadrature methods, are discussed together with supporting material on stochastic processes. Applications in finance, for instance, on credit risk;

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Stochastic Control in Discrete and Continuous Time

This book contains an introduction to three topics in stochastic control: discrete time stochastic control, i. e. , stochastic dynamic;

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Stochastic Optimal Control of Structures

This book proposes, for the first time, a basic formulation for structural control that takes into account the stochastic dynamics induced;

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Stochastic Optimal Control of Structures

This book proposes, for the first time, a basic formulation for structural control that takes into account the stochastic dynamics induced;

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Stochastic Processes

This book provides a rigorous yet accessible introduction to the theory of stochastic processes. A significant part of the book is devoted;

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Modeling and Management of Stochastic Systems

Stochastic control deals with the uncertainties in data observation playing a crucial role in data evolution. Stochastic control plays a;

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Stochastic Calculus

description of Brownian motion and the associated stochastic calculus, including their relationship to partial differential equations. It solves;

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Stochastic Differential Equations and Processes

Selected papers submitted by participants of the international Conference Stochastic Analysis and Applied Probability 2010 ( www.saap2010;

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Stochastic Differential Equations and Processes

Selected papers submitted by participants of the international Conference Stochastic Analysis and Applied Probability 2010 ( www.saap2010;

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Random Obstacle Problems

Studying the fine properties of solutions to Stochastic (Partial) Differential Equations with reflection at a boundary, this book begins;

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Stochastic Biomathematical Models

Stochastic biomathematical models are becoming increasingly important as new light is shed on the role of noise in living systems;

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Stochastic Modelling of Reactionâ Diffusion Processes

This practical introduction to stochastic reaction-diffusion modelling is based on courses taught at the University of Oxford. The authors;

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Stochastic Modelling of Reaction-Diffusion Processes

This practical introduction to stochastic reaction-diffusion modelling is based on courses taught at the University of Oxford. The authors;

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Mean Field Simulation for Monte Carlo Integration

stochastic algorithms. It will help theoretical probability researchers, applied statisticians, biologists, statistical physicists, and computer;

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Mean Field Simulation for Monte Carlo Integration

stochastic algorithms. It will help theoretical probability researchers, applied statisticians, biologists, statistical physicists, and computer;

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Sliding Mode Control of Uncertain ParameterSwitching Hybrid Systems

sliding mode control methodologies for uncertain parameter-switching hybrid systems. It establishes a unified framework for SMC of Markovian jump;

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