Gradient Methods
Zdeněk Dostál ()
Additional contact information
Zdeněk Dostál: VŠB - Technical University Ostrava
Chapter 3 in Optimal Quadratic Programming and QCQP Algorithms with Applications, 2025, pp 85-98 from Springer
Abstract:
Abstract We review the basic algorithms using the gradient direction for unconstrained QP problems, discuss their convergence in Euclidean and energy norm, and examine the effect of the steplength on their performance. We pay special attention to the possibility of enhancing the information from the previous step via the steplength (the Barizilai–Borwein method) or momentum (Polyak’s heavy ball method).
Date: 2025
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:978-3-031-95167-1_3
Ordering information: This item can be ordered from
http://www.springer.com/9783031951671
DOI: 10.1007/978-3-031-95167-1_3
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 ().