EconPapers    
Economics at your fingertips  
 

NLP MODELS AND APPLICATIONS

Richard W. Cottle () and Mukund N. Thapa
Additional contact information
Richard W. Cottle: Stanford University
Mukund N. Thapa: Optical Fusion, Inc.

Chapter Chapter 8 in Linear and Nonlinear Optimization, 2017, pp 233-270 from Springer

Abstract: Abstract We now turn to the study of nonlinear programming, also known as nonlinear optimization. In this chapter we discuss the differences between linear and nonlinear programming and state the form of the general nonlinear optimization model. We will see that in contrast to linear programming, it does make sense to talk about unconstrained nonlinear optimization problems.

Keywords: Objective Function; Nonlinear Optimization; Maximum Clique; Quadratic Programming Problem; Nonlinear Optimization Problem (search for similar items in EconPapers)
Date: 2017
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:978-1-4939-7055-1_8

Ordering information: This item can be ordered from
http://www.springer.com/9781493970551

DOI: 10.1007/978-1-4939-7055-1_8

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 ().

 
Page updated 2025-04-01
Handle: RePEc:spr:isochp:978-1-4939-7055-1_8