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Lectures on Stochastic Programming

principle. The book also includes the theory of two-stage and multistage stochastic programming problems; the current state of the theory on chance;

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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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Topics in stochastic processes

The notes are based on lectures on stochastic processes given at Scuola Normale Superiore in 1999 and 2000. Some new material was added and;

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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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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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Stochastic Programming

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

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Logic Programming

Includes tutorials, lectures, and refereed papers on all aspects of logic programming, The Joint International Conference and Symposium on;

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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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Noncommutative Probability and Random Matrices at Saint Flour

Biane, Philippe: Non-commutative stochastic calculus.-Voiculescu, Dan-Virgil: Lectures on free probability.- Guionnet, Alice: Large random;

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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 Games and Related Concepts

This set of lecture notes is based on a series of ten lectures given by Professor T. Parthasarathy at Chennai Mathematical Institute;

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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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Deterministic And Stochastic Topics In Computational Finance

The book is based on the author's lectures on topics on computational finance for senior and graduate students, delivered in USA (Princeton;

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Datatype-Generic Programming

This tutorial book presents six carefully revised lectures given at the Spring School on Datatype-Generic Programming, SSDGP 2006. This;

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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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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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Stochastic Model Checking

tutorial lectures given by leading scientists at the ROCKS Autumn School on Stochastic Model Checking, held in Vahrn, Italy, in October 2012. The 7;

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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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Stochastic Programming

Conference on Stochastic Programming held in Halifax, Nova Scotia in August 2010, span the rich field of uses of these models. The finance papers;

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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

complete solutions. The 2nd edition adds a chapter on optimal control of stochastic partial differential equations driven by Levy processes, and a;

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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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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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Programming Languages and Operational Semantics

logic programming languages. The book is designed to accompany lectures on programming language design for undergraduate students. Each chapter;

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