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Stochastic Disorder Problems

This monograph focuses on those stochastic quickest detection tasks in disorder problems that arise in the dynamical analysis;

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Lectures on Stochastic Programming

Optimization problems involving stochastic models occur in almost all areas of science and engineering, such as telecommunications;

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Stochastic Analysis and Applications

This volume attempts to exhibit current research in stochastic integration, stochastic differential equations, stochastic optimization and;

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Asymptotic Methods and Stochastic Models in Problems of Wave Propagation

Asymptotic Methods and Stochastic Models in Problems of Wave Propagation is een boek van American Mathematical Society;

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Stochastic Analysis and Applications

This volume attempts to exhibit current research in stochastic integration, stochastic differential equations, stochastic optimization and;

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Stochastic Partial Differential Equations

been a surge of interest in stochastic partial differential equations (PDEs) driven by the Levy type of noise. Stochastic Partial Differential;

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Advances in Linear Stochastic Programming

Multi-stage Stochastic Programming (MSP) has many practical applications for solving problems whose current resolution must be made while;

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Stochastic Cauchy Problems in Infinite Dimensions

Stochastic Cauchy Problems in Infinite Dimensions: Generalized and Regularized Solutions presents stochastic differential equations for;

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Stochastic Partial Differential Equations

As a relatively new area in mathematics, stochastic partial differential equations (PDEs) are still at a tender age and have not yet;

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Stochastic Optimization Methods: Applications in Engineering and Operations Research

stochastic uncertainty are converted into appropriate deterministic substitute problems. Due to the probabilities and expectations involved, the;

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Stochastic Optimization with Simulation Based Optimization

Stochastic optimization is vital to making sound engineering and business decisions under uncertainty. While the limited capability;

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Stochastic Differential Equations And Applications

This text develops the theory of systems of stochastic differential equations, and it presents applications in probability, partial;

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Numerical Methods For Stochastic Processes

Stochastic models deal with mathematical expectations (the probability of events, variance, etc). This study deals with the calculation;

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Stability Problems for Stochastic Models

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Stochastic queue location problems

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Numerical Methods for Stochastic Control Problems in Continuous Time

Stochastic control is a very active area of research. This monograph, written by two leading authorities in the field, has been updated to;

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Stochastic Programming

This book is concerned with fostering theoretical issues on stochastic programming and discussing how it can solve real life problems. The;

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Descent Directions and Efficient Solutions in Discretely Distributed Stochastic Programs

expected costs arising from the deviation between the output of a stochastic linear system and a desired stochastic target vector are minimal;

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Focus on Behavioral Psychology

of problems which include, but are not limited to the following: (a) Anxiety disorders (obsessive-compulsive disorder, panic disorder, post-traumatic;

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Stochastic Dynamics, Filtering and Optimization

introduction to a measure-theoretic framework in laying out the definitions and basic concepts of random variables and stochastic diffusion processes;

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Nonlinear Stochastic Control and Filtering with Engineering-Oriented Complexities

Nonlinear Stochastic Control and Filtering with Engineering-oriented Complexities presents a series of control and filtering approaches for;

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Nonlinear Stochastic Control and Filtering With Engineering-Oriented Complexities

Nonlinear Stochastic Control and Filtering with Engineering-oriented Complexities presents a series of control and filtering approaches for;

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Stochastic Programming

Brings together leading in the most important sub-fields of stochastic programming to present a rigourous overview of basic models;

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An Introduction To Stochastic Modeling

Serving as the foundation for a one-semester course in stochastic processes for students familiar with elementary probability theory and;

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Stochastic Linear Programming Algorithms

A computationally oriented comparison of solution algorithms for two stage and jointly chance constrained stochastic linear programming;

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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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Dynamic lot sizing problems with stochastic production output

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