Lagrangian Models

Daniel P. Loucks ()
Additional contact information
Daniel P. Loucks: Cornell University

Chapter Chapter 11 in Public Systems Modeling, 2022, pp 135-141 from Springer

Abstract: Abstract Lagrangian models use calculus to solve multi-variable non-linear constrained optimization models of problems and for identifying the marginal changes (‘shadow prices’) of optimal solutions to changes in constraint bounds. This is especially useful when the constraints represent resource limitations.

Date: 2022
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:isochp:978-3-030-93986-1_11

Ordering information: This item can be ordered from
http://www.springer.com/9783030939861

DOI: 10.1007/978-3-030-93986-1_11

Access Statistics for this chapter

More chapters in International Series in Operations Research & Management Science from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().