1 option
Risk and Optimization in an Uncertain World / John J. Hasenbein.
- 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.
The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.