The LP recourse problem applies to two-stage optimization problems where uncertainty in resource availability of the second stage hinders informed decision making. The recourse function affords a way to compensate "later" for an error in prediction "now." The literature provides a rich body of work on the optimization of such problems, but little research has been accomplished regarding the characterization of the surface in the local region of optimality, in particular sensitivity analysis. A decision maker faced with considerations other than the modeled objective function must be presented with a way to estimate the impact of operating at non-optimal decision variable values. This work develops and demonstrates a technique for characterizing the surface using response surface methodology. Specifically, the flexibility and utility of RSM techniques applied to this class of problems is demonstrated, and a methodology for characterizing the surface in the local region using a low-order polynomial is developed.

"About this title" may belong to another edition of this title.

Store Description

Visit Seller's Storefront

Seller's business information

WRAP Ltd
Unit 4, 119 Loverock Rd, Reading, RG30 1DZ, United Kingdom

Terms of Sale:

TBA

Shipping Terms:

Shipping costs are based on books weighing 2.2 LB, or 1 KG. If your book order is heavy or oversized, we may contact you to let you know extra shipping is required.

Payment Methods
accepted by seller

Add to Wants

Items related to Two-Stage Stochastic Linear Programming with Recourse:...

Two-Stage Stochastic Linear Programming with Recourse: A Characterization of Local Regions Using Response Surface Methodology

David T. Mills

New - Soft cover

Seller's business information