EconPapers    
Economics at your fingertips  
 

Characterizations of Higher Order Strongly Generalized Convex Functions

Muhammad Aslam Noor (), Khalida Inayat Noor () and Michael Th. Rassias ()
Additional contact information
Muhammad Aslam Noor: COMSATS University Islamabad
Khalida Inayat Noor: COMSATS University Islamabad
Michael Th. Rassias: University of Zurich

A chapter in Nonlinear Analysis, Differential Equations, and Applications, 2021, pp 341-364 from Springer

Abstract: Abstract In this paper, we define and consider some new concepts of the higher order strongly generalized convex functions with respect to two arbitrary functions. Some properties of the higher order strongly generalized convex functions are investigated under suitable conditions. It is shown that the operator parallelogram laws for the characterization of uniformly Banach spaces can be obtained as a novel applications of higher order strongly affine functions. It is shown that the optimality conditions of the higher order strongly generalized convex functions are characterized by a new class of variational inequalities. Some special cases also discussed. Results obtained in this paper can be viewed as significant refinement and improvement of previously known results.

Date: 2021
References: Add references at CitEc
Citations: View citations in EconPapers (1)

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:978-3-030-72563-1_15

Ordering information: This item can be ordered from
http://www.springer.com/9783030725631

DOI: 10.1007/978-3-030-72563-1_15

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:978-3-030-72563-1_15