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Risk and Optimization in an Uncertain World / John J. Hasenbein.

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Format:
Book
Author/Creator:
Hasenbein, John J., author.
Language:
English
Subjects (All):
Operations research--Congresses.
Operations research.
Physical Description:
1 online resource (x, 262 pages) : illustrations
Place of Publication:
Hanover : INFORMS, 2010.
Summary:
Annotation This volume is a collection designed to address the debates on risk and optimization in an uncertain world. It contains two chapters on the quantification of risk, three on extending decision-making methodology, three on optimization under uncertainty, two on optimizing stochastic systems, and one on procurement auctions.
Contents:
Foreword
Preface
Mathematical Approaches to Infectious Disease Prediction and Control
Nedialko B. Dimitrov, Lauren Ancel Meyers
Risk Applications in Commercial Nuclear Power
Ernie Kee, Elmira Popova
Constructing Multiattribute Utility Functions for Decision Analysis
Ali E. Abbas
The Trojan Horse of Time-Risk Preference Representations
Matthew J. Sobel
The Separation, and Separation-Deviation Methodology for Group Decision Making and Aggregate Ranking
Dorit S. Hochbaum
Patrick Jaillet, Michael R. Wagner
Robust Vehicle Routing
Fernando Ordóñez
Provably Near-Optimal Approximation Algorithms for Operations Management Models
Retsef Levi
Optimization via Simulation Over Discrete Decision Variables
Barry L. Nelson
Dynamic Optimization with Applications to Dynamic Rate Queues
Robert C. Hampshire, William A. Massey
Procurement Auctions
Damian R. Beil
Contributing Authors.
Notes:
Description based on publisher supplied metadata and other sources.

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