CONVEX ANALYSIS WITH APPLICATIONS IN DIFFERENTIATION OF CONVEX FUNCTIONS (Research Notes in Mathematics, 58)

1983 ◽  
Vol 15 (1) ◽  
pp. 87-89
Author(s):  
R. Phelps
2020 ◽  
Vol 187 (2) ◽  
pp. 408-420 ◽  
Author(s):  
Andrea Calogero ◽  
Rita Pini

Abstract In this note, we provide a simple proof of some properties enjoyed by convex functions having the engulfing property. In particular, making use only of results peculiar to convex analysis, we prove that differentiability and strict convexity are conditions intrinsic to the engulfing property.


2012 ◽  
Vol 2012 ◽  
pp. 1-15
Author(s):  
Sangho Kum ◽  
Yongdo Lim

The notion of the geometric mean of two positive reals is extended by Ando (1978) to the case of positive semidefinite matricesAandB. Moreover, an interesting generalization of the geometric meanA # BofAandBto convex functions was introduced by Atteia and Raïssouli (2001) with a different viewpoint of convex analysis. The present work aims at providing a further development of the geometric mean of convex functions due to Atteia and Raïssouli (2001). A new algorithmic self-dual operator for convex functions named “the geometric mean of parameterized arithmetic and harmonic means of convex functions” is proposed, and its essential properties are investigated.


Filomat ◽  
2012 ◽  
Vol 26 (1) ◽  
pp. 55-65 ◽  
Author(s):  
Delavar Khalafi ◽  
Bijan Davvaz

In this paper, we generalize some concepts of convex analysis such as convex functions and linear functions on hyper-structures. Based on new definitions we obtain some important results in convex programming. A few suitable examples have been given for better understanding.


2020 ◽  
Vol 4 (2) ◽  
pp. 1-14
Author(s):  
Pardeep Kaur ◽  
◽  
Sukhwinder Singh Billing ◽  

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