Skip to main content Accessibility help
×
Hostname: page-component-77c89778f8-fv566 Total loading time: 0 Render date: 2024-07-24T17:23:28.383Z Has data issue: false hasContentIssue false

15 - Case studies

Published online by Cambridge University Press:  03 December 2009

Ross Baldick
Affiliation:
University of Texas, Austin
Get access

Summary

In this chapter we will introduce six case studies:

  1. production, at least-cost, of a commodity from machines that have minimum and maximum machine capacity constraints (Section 15.1),

  2. optimal routing in a data communications network (Section 15.2),

  3. least absolute value estimation (Section 15.3),

  4. optimal margin pattern classification (Section 15.4),

  5. choosing the widths of interconnects between latches and gates in integrated circuits (Section 15.5), and

  6. the optimal power flow problem in electric power systems (Section 15.6).

The first and third case studies will draw from the previous formulations in Sections 12.1 and 9.1, respectively. The sixth case study combines the formulations from Sections 15.1 and 6.2. These three case studies will be introduced briefly, concentrating on the extensions from the previous formulations. They further illustrate the idea of incremental model development. The second, fourth, and fifth case studies introduce new material and will be developed in more detail. All six of these case studies will turn out to be optimization problems with both equality and inequality constraints. The first three have linear constraints, while the last three have non-linear constraints. Transformations will be applied to the fourth and fifth to deal with the non-linear constraints.

Least-cost production with capacity constraints

This case study generalizes the least-cost production case study from Section 12.1.

Motivation

Recall the least-cost production case study discussed in Section 12.1.

Type
Chapter
Information
Applied Optimization
Formulation and Algorithms for Engineering Systems
, pp. 559 - 606
Publisher: Cambridge University Press
Print publication year: 2006

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Save book to Kindle

To save this book to your Kindle, first ensure coreplatform@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

  • Case studies
  • Ross Baldick, University of Texas, Austin
  • Book: Applied Optimization
  • Online publication: 03 December 2009
  • Chapter DOI: https://doi.org/10.1017/CBO9780511610868.016
Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

  • Case studies
  • Ross Baldick, University of Texas, Austin
  • Book: Applied Optimization
  • Online publication: 03 December 2009
  • Chapter DOI: https://doi.org/10.1017/CBO9780511610868.016
Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

  • Case studies
  • Ross Baldick, University of Texas, Austin
  • Book: Applied Optimization
  • Online publication: 03 December 2009
  • Chapter DOI: https://doi.org/10.1017/CBO9780511610868.016
Available formats
×