Stochastic Programming The State of the Art In Honor of George B. Dantzig

From the Preface… The preparation of this book started in 2004, when George B. Dantzig and I, following a long-standing invitation by Fred Hillier to contribute a volume to his International Series in Operations Research and Management Science, decided finally to go ahead with editing a volume on st...

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Bibliographic Details
Other Authors: Infanger, Gerd (Editor)
Format: eBook
Language:English
Published: New York, NY Springer New York 2011, 2011
Edition:1st ed. 2011
Series:International Series in Operations Research & Management Science
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • Linear Programming Under Uncertainty
  • A Probabilistic Lower Bound for Two-Stage Stochastic Programs
  • Simulation-Based Optimality Tests for Stochastic Programs
  • Stochastic Decomposition and Extensions
  • Barycentric Bounds in Stochastic Programming: Theory and Application
  • Stochastic Programming Apporximations Using Limited Moment Information, with Application to Asset Allocation
  • Stability and Scenario Trees for Multistage Stochastic Programs
  • Risk Aversion in Two-Stage Stochastic Integer Programming
  • Risk-Averse Portfolio Optimization via Stochastic Dominance Constraints
  • Single Period Mean-Variance Analysis in a Changing World
  • Mean-Absolute Deviation Model
  • Multi-Stage Financial Planning Models: Integrating Stochastic Programs and Policy Simulators
  • Growth-Security Models and Stochastic Dominance
  • Production Planning Under Supply and Demand Uncertainty: A Stochastic Programming Approach
  • Global Climate Decisions under Uncertainty
  • Control of Diffusions via Linear Programming