Nonsubmodular Optimization

Weili Wu (), Zhao Zhang and Ding-Zhu Du ()
Additional contact information
Weili Wu: The University of Texas at Dallas
Zhao Zhang: Zhejiang Normal University
Ding-Zhu Du: The University of Texas at Dallas

A chapter in Nonlinear Combinatorial Optimization, 2019, pp 141-152 from Springer

Abstract: Abstract The nonsubmodular optimization is a hot research topic in the study of nonlinear combinatorial optimizations. We discuss several approaches to deal with such optimization problems, including supermodular degree, curvature, algorithms based on DS decomposition, and sandwich method.

Date: 2019
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:978-3-030-16194-1_6

Ordering information: This item can be ordered from
http://www.springer.com/9783030161941

DOI: 10.1007/978-3-030-16194-1_6

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 ().