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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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Stochastic Programming

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

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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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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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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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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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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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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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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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Advances in Linear Stochastic Programming

are employed to solve this class of problems. In addition to extensive discussion on methods for solving multi-stage stochastic program, this;

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Lectures on Stochastic Programming

approaches to stochastic programming.;

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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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Stochastic Linear Programming Algorithms

problems, this is the first book to present comparative computational results with several major stochastic programming solution approaches;

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Partially Observed Markov Decision Proce

together research from across the literature, the book provides an introduction to nonlinear filtering followed by a systematic development;

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Foundations and Methods of Stochastic Simulation

This graduate-level textbook covers modelling, programming and analysis of stochastic computer simulation experiments, including the;

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Foundations and Methods of Stochastic Simulation

This graduate-level textbook covers modelling, programming and analysis of stochastic computer simulation experiments, including the;

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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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Introduction to Applied Optimization

; Introduces applied optimization to the hazardous waste blending problem; Explores linear programming, nonlinear programming, discrete;

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Introduction to Applied Optimization

; Introduces applied optimization to the hazardous waste blending problem; Explores linear programming, nonlinear programming, discrete;

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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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Introduction to Stochastic Integration

functions. This introductory textbook provides a concise introduction to the Ito calculus. From the reviews: Introduction to Stochastic;

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Bilevel Programming Problems: Theory, Algorithms and Applications to Energy Networks

This book describes recent theoretical findings relevant to bilevel programming in general, and in mixed-integer bilevel programming;

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