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Stochastic Optimization

Stochastic programming is the study of procedures for decision making under the presence of uncertainties and risks. Stochastic;

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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

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

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Applications of Stochastic Programming

Research on algorithms and applications of stochastic programming, the study of procedures for decision making under uncertainty over time;

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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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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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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 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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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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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

Adaptive Stochastic Optimization Techniques with Applications provides a single, convenient source for state-of-the-art information on;

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Mathematical Optimisation in Economics

economy wide programming.- A. Prekopa: Probability distribution problems concerning stochastic programming problems.- R. Frisch: General;

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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 Problems With Probability And Quantile Functions

of such theory in areas of interest, or associated methodology. Of related interest Stochastic Programming Peter Kall, University of Zurich;

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Introduction to Stochastic Programming

The aim of stochastic programming is to find optimal decisions in problems which involve uncertain data. This field is currently;

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Introduction to Stochastic Programming

The aim of stochastic programming is to find optimal decisions in problems which involve uncertain data. This field is currently;

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Stochastic Programming

This book shows the breadth and depth of stochastic programming applications. All the papers presented here involve optimization over the;

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

in particular. It describes recent applications in energy problems, such as the stochastic bilevel optimization approaches used in the natural gas;

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BONUS Algorithm for Large Scale Stochastic Nonlinear Programming Problems

generalized method for stochastic nonlinear programming based on a sampling based approach for uncertainty analysis and statistical reweighting to;

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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 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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Introduction to Linear Organization and Extensions With MATLAB

point methods for both linear and quadratic optimization as well as the inclusion of linear optimization of uncertainty i.e. stochastic;

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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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Linear Programming

mathematical equivalence of simple recourse and chance constraints in linear stochastic programming; and provides a decomposable linear programming;

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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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