Results 11 to 20 of about 18,163 (201)
Dynamic multi‐objective optimisation of complex networks based on evolutionary computation
IET Networks, EarlyView., 2022 Abstract As the problems concerning the number of information to be optimised is increasing, the optimisation level is getting higher, the target information is more diversified, and the algorithms are becoming more complex; the traditional algorithms such as particle swarm and differential evolution are far from being able to deal with this situation ...
Linfeng Huang
wiley +1 more source
Almost sure exponential stability of numerical solutions for stochastic delay differential equations [PDF]
, 2010 Using techniques based on the continuous and discrete semimartingale convergence theorems, this paper investigates if numerical methods may reproduce the almost sure exponential stability of the exact solutions to stochastic delay differential equations (
A. Rodkina +28 more
core +1 more source
Chebyshev's Sum Inequality and the Zagreb Indices Inequality
Match Communications in Mathematical and in Computer Chemistry, 2023 In a recent article, Nadeem and Siddique used Chebyshev’s sum inequality to establish the Zagreb indices inequality M1/n ≤ M2/m for undirected graphs in the case where the degree sequence (di) and the degree-sum sequence (Si) are similarly ordered. We show that this is actually not a completely new result and we discuss several related results that ...
openaire +2 more sources
On Chebyshev–Markov–Krein inequalities
Journal of Approximation Theory, 2012 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Pinkus, A., Quesada, J.M.
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Certain Inequalities Pertaining to Some New Generalized Fractional Integral Operators
Fractal and Fractional, 2021 In this paper, we introduce the generalized left-side and right-side fractional integral operators with a certain modified ML kernel. We investigate the Chebyshev inequality via this general family of fractional integral operators.
Hari Mohan Srivastava +3 more
doaj +1 more source
Convex Optimal Uncertainty Quantification [PDF]
, 2015 Optimal uncertainty quantification (OUQ) is a framework for numerical extreme-case analysis of stochastic systems with imperfect knowledge of the underlying probability distribution.
Han, Shuo +4 more
core +3 more sources
Chebyshev Inequality in Function Spaces
Real Analysis Exchange, 1991 This paper gives new variants, generalizations and abstractions of the well-known Chebyshev inequality for monotonic functions. For example, the following result was proved by reviewer's method: Let \(K\) be a positive continuous function on \(I^ 2\;(I=[0,a],a>0)\) and suppose \(f:I^ 2\to[0,\infty)\) is a continuous positive set function. a) If for all
Heinig, Hans P., Maligranda, Lech
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Chebyshev inequality on conformable derivative
Communications Faculty Of Science University of Ankara Series A1Mathematics and Statistics, 2021 Summary: Integral inequalities are very important in applied sciences. Chebyshev's integral inequality is widely used in applied mathematics. First of all, some necessary definitions and results regarding conformable derivative are given in this article.
SELÇUK KIZILSU, Aysun +1 more
openaire +3 more sources
Generalized Integral Inequalities of Chebyshev Type
Fractal and Fractional, 2020 In this paper, we present a number of Chebyshev type inequalities involving generalized integral operators, essentially motivated by the earlier works and their applications in diverse research subjects.
Paulo M. Guzmán +2 more
doaj +1 more source
Some New Beesack–Wirtinger-Type Inequalities Pertaining to Different Kinds of Convex Functions
Mathematics, 2022 In this paper, the authors established several new inequalities of the Beesack–Wirtinger type for different kinds of differentiable convex functions. Furthermore, we generalized our results for functions that are n-times differentiable convex.
Artion Kashuri +3 more
doaj +1 more source