Results 41 to 50 of about 89,992 (292)

On exponentially (h1, h2)-convex functions and fractional integral inequalities related [PDF]

open access: yesMathematica Moravica, 2020
In this work the concept of exponentially (h1, h2)-convex function is introduced and using it, the Hermite-Hadamard inequality and some bounds for the right side of this inequality, via Raina's fractional integral operator and generalized convex ...
Vivas-Cortez Miguel   +2 more
doaj  

Semi-Global Exponential Stability of Augmented Primal-Dual Gradient Dynamics for Constrained Convex Optimization

open access: yes, 2020
Primal-dual gradient dynamics that find saddle points of a Lagrangian have been widely employed for handling constrained optimization problems. Building on existing methods, we extend the augmented primal-dual gradient dynamics (Aug-PDGD) to incorporate ...
Li, Na, Qu, Guannan, Tang, Yujie
core   +1 more source

Newton-Raphson Consensus for Distributed Convex Optimization [PDF]

open access: yes, 2015
We address the problem of distributed uncon- strained convex optimization under separability assumptions, i.e., the framework where each agent of a network is endowed with a local private multidimensional convex cost, is subject to communication ...
Cenedese, Angelo   +4 more
core   +1 more source

Boundedness of Fractional Integral Operators Containing Mittag-Leffler Function via Exponentially s-Convex Functions

open access: yesJournal of Mathematics, 2020
The main objective of this paper is to obtain the fractional integral operator inequalities which provide bounds of the sum of these operators at an arbitrary point. These inequalities are derived for s-exponentially convex functions.
Gang Hong   +6 more
doaj   +1 more source

Some new fractional integral inequalities for exponentially m-convex functions via extended generalized Mittag-Leffler function

open access: yesJournal of Inequalities and Applications, 2019
In the article, we establish some new general fractional integral inequalities for exponentially m-convex functions involving an extended Mittag-Leffler function, provide several kinds of fractional integral operator inequalities and give certain special
Saima Rashid   +4 more
doaj   +1 more source

On Caputo fractional derivatives via exponential \(s,m\)-convex functions

open access: yesEngineering and Applied Science Letters, 2020
In this paper, we establish several integral inequalities including Caputo fractional derivatives for exponential \(s,m\)-convex functions. By using convexity for exponential \(s,m\)-convex functions of any positive integer order differentiable function some novel results are obtained.
BUTT, Saad Ihsan   +2 more
openaire   +2 more sources

n-exponential convexity of some dynamic Hardy-type functionals

open access: yesJournal of Mathematical Inequalities, 2014
Recently, some dynamic Hardy-type inequalities with certain kernels are studied with the help of arbitrary time scales. We use the positive linear functionals obtained from some older results to give non trivial examples of n-exponentially convex functions.
Khan, Khuram Ali   +2 more
openaire   +3 more sources

Some New Generalizations for Exponentially s-Convex Functions and Inequalities via Fractional Operators

open access: yesFractal and Fractional, 2019
The main objective of this paper is to obtain the Hermite−Hadamard-type inequalities for exponentially s-convex functions via the Katugampola fractional integral.
Saima Rashid   +3 more
doaj   +1 more source

Exponential Clustering of Bipartite Quantum Entanglement at Arbitrary Temperatures

open access: yesPhysical Review X, 2022
Many inexplicable phenomena in low-temperature many-body physics are a result of macroscopic quantum effects. Such macroscopic quantumness is often evaluated via long-range entanglement, that is, entanglement in the macroscopic length scale.
Tomotaka Kuwahara, Keiji Saito
doaj   +1 more source

Properties of Classical and Quantum Jensen-Shannon Divergence

open access: yes, 2009
Jensen-Shannon divergence (JD) is a symmetrized and smoothed version of the most important divergence measure of information theory, Kullback divergence.
A. F. T. Martins   +20 more
core   +1 more source

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