Applications of Stochastic Programming

This book PDF is perfect for those who love Mathematics genre, written by Stein W. Wallace and published by SIAM which was released on 01 June 2005 with total hardcover pages 701. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Applications of Stochastic Programming books below.

Applications of Stochastic Programming

Author	: Stein W. Wallace
File Size	: 48,9 Mb
Publisher	: SIAM
Language	: English
Release Date	: 01 June 2005
ISBN	: 9780898715552
Pages	: 701 pages

Get Book

Applications of Stochastic Programming by Stein W. Wallace Book PDF Summary

Consisting of two parts, this book presents papers describing publicly available stochastic programming systems that are operational. It presents a diverse collection of application papers in areas such as production, supply chain and scheduling, gaming, environmental and pollution control, financial modeling, telecommunications, and electricity.

Applications of Stochastic Programming by Stein W. Wallace,William T. Ziemba

Get Book

Stochastic Programming 84 by András Prékopa,Roger J.-B. Wets

Download or read online Stochastic Programming 84 written by András Prékopa,Roger J.-B. Wets, published by Unknown which was released on 1986. Get Stochastic Programming 84 Books now! Available in PDF, ePub and Kindle.

Get Book

Introduction to Stochastic Programming by John R. Birge,François Louveaux

This rapidly developing field encompasses many disciplines including operations research, mathematics, and probability. Conversely, it is being applied in a wide variety of subjects ranging from agriculture to financial planning and from industrial engineering to computer networks. This textbook provides a first course in stochastic programming suitable for students with

Get Book

Stochastic Optimization by Stanislav Uryasev,Panos M. Pardalos

Stochastic programming is the study of procedures for decision making under the presence of uncertainties and risks. Stochastic programming approaches have been successfully used in a number of areas such as energy and production planning, telecommunications, and transportation. Recently, the practical experience gained in stochastic programming has been expanded to

Get Book

Continuous time Stochastic Control and Optimization with Financial Applications by Huyên Pham

Stochastic optimization problems arise in decision-making problems under uncertainty, and find various applications in economics and finance. On the other hand, problems in finance have recently led to new developments in the theory of stochastic control. This volume provides a systematic treatment of stochastic optimization problems applied to finance by

Get Book

Lectures on Stochastic Programming by Alexander Shapiro,Darinka Dentcheva,Andrzej Ruszczy?ski

Optimization problems involving stochastic models occur in almost all areas of science and engineering, such as telecommunications, medicine, and finance. Their existence compels a need for rigorous ways of formulating, analyzing, and solving such problems. This book focuses on optimization problems involving uncertain parameters and covers the theoretical foundations and

Get Book

Stochastic Optimization Methods by Kurt Marti

This book examines optimization problems that in practice involve random model parameters. It details the computation of robust optimal solutions, i.e., optimal solutions that are insensitive with respect to random parameter variations, where appropriate deterministic substitute problems are needed. Based on the probability distribution of the random data and

Get Book

Stochastic Programming by Carlos Narciso Bouza Herrera

This book is concerned with fostering theoretical issues on stochastic programming and discussing how it can solve real life problems. The book presents applications which solve the optimization of concrete problems in electricity markets, market equilibria, resource markets and environments. Each chapter presents a survey on the main results concerned

Get Book