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Introduction to Stochastic Dynamic Programming

Introduction to Stochastic Dynamic Programming is een boek van Sheldon M. Ross;

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Controlled Markov Processes and Viscosity Solutions

solutions. The authors approach stochastic control problems by the method of dynamic programming. The text provides an introduction to dynamic;

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Economic Dynamics

A rigorous and example-driven introduction to topics in economic dynamics, with an emphasis on mathematical and computational techniques;

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Adaptive Stochastic Optimization Techniques with Applications

optimization techniques used to solve problems with adaptive, dynamic, and stochastic features. Presenting modern advances in static and dynamic;

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Controlled Markov Processes and Viscosity Solutions

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

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Controlled Markov Processes and Viscosity Solutions

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

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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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Partially Observed Markov Decision Proce

processes (POMDPs). It emphasizes structural results in stochastic dynamic programming, enabling graduate students and researchers in engineering;

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Introduction to Stochastic Programming

, the large number of examples used to illustrate the material, and the breadth of the coverage make 'Introduction to Stochastic Programming' an;

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Introduction to Stochastic Programming

, the large number of examples used to illustrate the material, and the breadth of the coverage make 'Introduction to Stochastic Programming' an;

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Decision Theory

Decision Theory An Introduction to Dynamic Programming and Sequential Decisions John Bather University of Sussex, UK Mathematical induction;

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Discrete Time Stochastic Control and Dynamic Potential Games

There are several techniques to study noncooperative dynamic games, such as dynamic programming and the maximum principle (also called the;

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Stochastic Programming

This book provides an essential introduction to Stochastic Programming, especially intended for graduate students. The book begins by;

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Approximate Dynamic Programming for Dynamic Vehicle Routing

researcher looking for effective and efficient methods of stochastic dynamic optimization and approximate dynamic programming (ADP). To this end, the;

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Dynamic and Stochastic Multi-Project Planning

This book deals with dynamic and stochastic methods for multi-project planning. Based on the idea of using queueing networks for the;

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Stochastic Programming Problems With Probability And Quantile Functions

, Switzerland and Stein W. Wallace, University of Trondheim, Norway Stochastic Programming is the first textbook to provide a thorough and self;

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Stochastic Dynamic Programming And The Control Of Queueing Systems

course text for graduate students and advanced undergraduates. Its comprehensive coverage of important recent advances in stochastic dynamic;

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On Stochastic Optimization Problems and an Application in Finance

Josef Anton Strini analyzes a special stochastic optimal control problem. The problem under study arose from a dynamic cash management;

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Dynamic Economics

An integrated approach to the empirical application of dynamic optimization programming models, for students and researchers. This book;

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Stochastic Dynamics of Marine Structures

stochastic modelling and analysis of marine structures subjected to environmental loads. The first part of the book provides a detailed introduction;

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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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Stochastic Optimization

transportation. Recently, the practical experience gained in stochastic programming has been expanded to a much larger spectrum of applications;

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Retirement Benefits and Teacher Retention

The authors develop and estimate a stochastic dynamic programming model to analyze the relationship between compensation, including;

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Introduction to Linear Organization and Extensions With MATLAB

, Introduction to Linear Optimization and Extensions with MATLAB (R) provides a concrete and intuitive yet rigorous introduction to modern linear;

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Applications of Stochastic Programming

of stochastic programming and also the first to provide access to publicly available algorithmic systems. The 32 contributed papers in this volume are;

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Introduction to Scientific Programming and Simulation Using R

Learn How to Program Stochastic Models Highly recommended, the best-selling first edition of Introduction to Scientific Programming and;

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An Introduction to Differential Equations

academic background. An Introduction to Differential Equations: Volume 2 is a stochastic version of Volume 1 ( An Introduction to Differential;

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