Results 1 to 10 of about 849,386 (159)

Refinement of Jensen’s inequality and estimation of f- and Rényi divergence via Montgomery identity [PDF]

open access: yesJournal of Inequalities and Applications, 2018
Jensen’s inequality is important for obtaining inequalities for divergence between probability distribution. By applying a refinement of Jensen’s inequality (Horváth et al. in Math. Inequal. Appl.
Khuram Ali Khan   +3 more
doaj   +3 more sources

On generalization of refinement of Jensen’s inequality using Fink’s identity and Abel-Gontscharoff Green function [PDF]

open access: yesJournal of Inequalities and Applications, 2017
In this paper, we formulate new Abel-Gontscharoff type identities involving new Green functions for the ‘two-point right focal’ problem. We use Fink’s identity and a new Abel-Gontscharoff-type Green’s function for a ‘two-point right focal’ to generalize ...
Tasadduq Niaz   +2 more
doaj   +3 more sources

Performance in a variable world: using Jensen's inequality to scale up from individuals to populations. [PDF]

open access: yesConserv Physiol, 2019
Body temperature affects plants’ and animals’ performance, but temperature varies through time within an individual and through space among individuals.
Denny M.
europepmc   +2 more sources

Refinements of the integral Jensen’s inequality generated by finite or infinite permutations

open access: yesJournal of Inequalities and Applications, 2021
There are a lot of papers dealing with applications of the so-called cyclic refinement of the discrete Jensen’s inequality. A significant generalization of the cyclic refinement, based on combinatorial considerations, has recently been discovered by the ...
László Horváth
doaj   +2 more sources

Uniform Treatment of Jensen’s Inequality by Montgomery Identity

open access: yesJournal of Mathematics, 2021
We generalize Jensen’s integral inequality for real Stieltjes measure by using Montgomery identity under the effect of n−convex functions; also, we give different versions of Jensen’s discrete inequality along with its converses for real weights.
Tahir Rasheed   +4 more
doaj   +2 more sources

A new refinement of Jensen’s inequality with applications in information theory

open access: yesOpen Mathematics, 2020
In this paper, we present a new refinement of Jensen’s inequality with applications in information theory. The refinement of Jensen’s inequality is obtained based on the general functional in the work of Popescu et al.
Xiao Lei, Lu Guoxiang
doaj   +2 more sources

Convergence and Equivalence results for the Jensen's inequality - Application to time-delay and sampled-data systems [PDF]

open access: yesIEEE Transactions on Automatic Control, 2011
The Jensen's inequality plays a crucial role in the analysis of time-delay and sampled-data systems. Its conservatism is studied through the use of the Gr\"{u}ss Inequality.
Briat, Corentin
core   +2 more sources

Improved Hermite–Hadamard Inequality Bounds for Riemann–Liouville Fractional Integrals via Jensen’s Inequality

open access: yesFractal and Fractional
This paper derives the sharp bounds for Hermite–Hadamard inequalities in the context of Riemann–Liouville fractional integrals. A generalization of Jensen’s inequality called the Jensen–Mercer inequality is used for general points to find the new and ...
Muhammad Aamir Ali   +3 more
doaj   +2 more sources

Refinement of the Jensen integral inequality [PDF]

open access: yesOpen Mathematics, 2016
In this paper we give a refinement of Jensen’s integral inequality and its generalization for linear functionals. We also present some applications in Information Theory.
Sever Dragomir Silvestru   +2 more
doaj   +3 more sources

Jensen’s inequality and tgs-convex functions with applications [PDF]

open access: yesJournal of Mahani Mathematical Research, 2023
In recent years, many researches have been done on the tgs-convex functions and their applications. In this article, we present some properties of the tgs-convex functions by interesting examples.
Hasan Barsam   +2 more
doaj   +1 more source

Home - About - Disclaimer - Privacy