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.
General
| Imprint: |
Biblioscholar
|
| Country of origin: |
United States |
| Release date: |
October 2012 |
| First published: |
October 2012 |
| Authors: |
David T Mills
|
| Dimensions: |
246 x 189 x 5mm (L x W x T) |
| Format: |
Paperback - Trade
|
| Pages: |
94 |
| ISBN-13: |
978-1-249-58676-0 |
| Categories: |
Books >
Social sciences >
Education >
General
Promotions
|
| LSN: |
1-249-58676-3 |
| Barcode: |
9781249586760 |
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