Exact bounds for steepest descent algorithms of L-convex function minimization

We analyze minimization algorithms for L♮-convex functions in discrete convex analysis and establish exact bounds for the number of iterations required by the steepest descent algorithm and its variants.

Saved in:
Bibliographic Details
Published in:Operations research letters Vol. 42; no. 5; pp. 361 - 366
Main Authors: Murota, Kazuo, Shioura, Akiyoshi
Format: Journal Article
Language:English
Published: Elsevier B.V 01.07.2014
Subjects:
ISSN:0167-6377, 1872-7468
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:We analyze minimization algorithms for L♮-convex functions in discrete convex analysis and establish exact bounds for the number of iterations required by the steepest descent algorithm and its variants.
ISSN:0167-6377
1872-7468
DOI:10.1016/j.orl.2014.06.005