EconPapers    
Economics at your fingertips  
 

Computer Algebra and Line Search

Predrag Stanimirović (), Marko Miladinović () and Ivan M. Jovanović ()
Additional contact information
Predrag Stanimirović: University of Niš
Marko Miladinović: University of Niš
Ivan M. Jovanović: University of Belgrade

A chapter in Approximation and Computation, 2010, pp 425-438 from Springer

Abstract: Abstract We investigate symbolic transformations on unevaluated expressions representing objective functions to generate unevaluated composite objective functions required during the implementation of unconstrained nonlinear optimization methods based on exact line search. Using these transformations, we develop a MATHEMATICA implementation of the main nonlinear optimization methods. We also implement the same optimization methods using an approximate minimization rule as well as three inexact line search procedures. A comparison of the number of iterations and the CPU time between these five variations of optimization methods is presented.

Keywords: Line Search; Conjugate Gradient Method; Computer Algebra; Unconstrained Optimization; Computer Algebra System (search for similar items in EconPapers)
Date: 2010
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:spochp:978-1-4419-6594-3_28

Ordering information: This item can be ordered from
http://www.springer.com/9781441965943

DOI: 10.1007/978-1-4419-6594-3_28

Access Statistics for this chapter

More chapters in Springer Optimization and Its Applications from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-04-01
Handle: RePEc:spr:spochp:978-1-4419-6594-3_28