Generalized fractional inequalities for quasi-convex functions
The class of quasi-convex functions contain all those finite convex functions which are defined on finite closed intervals of real line. The aim of this paper is to establish the bounds of the sum of left and right fractional integral operators using ...
S. Ullah +4 more
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The Hadwiger theorem on convex functions, III: Steiner formulas and mixed Monge-Ampère measures. [PDF]
Colesanti A, Ludwig M, Mussnig F.
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Some types of convex functions on networks
We present and study some kinds of convex functions defined on undirected networks. The relations between these concepts are also presented. We adopt the definition of network as metric space used by Dearing P. M. and Francis R. L. in 1974.
Daniela Marian
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Minimizing Uniformly Convex Functions by Cubic Regularization of Newton Method. [PDF]
Doikov N, Nesterov Y.
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Some Parameterized Quantum Midpoint and Quantum Trapezoid Type Inequalities for Convex Functions with Applications. [PDF]
Asawasamrit S +3 more
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Trapezoidal-Type Inequalities for Strongly Convex and Quasi-Convex Functions via Post-Quantum Calculus. [PDF]
Kalsoom H, Vivas-Cortez M, Latif MA.
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Tensor methods for finding approximate stationary points of convex functions. [PDF]
Grapiglia GN, Nesterov Y.
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Some New Hermite-Hadamard and Related Inequalities for Convex Functions via (p,q)-Integral. [PDF]
Vivas-Cortez M +4 more
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On a class of functions unifying the classes of Paatero, Robertson and others
We study a class Mkλ(α,β,b,c) of analytic functions which unifies a number of classes studied previously by Paatero, Robertson, Pinchuk, Moulis, Mocanu and others. Thus our class includes convex and starlike functions of order β, spirallike functions of
S. Bhargava, S. Nanjunda Rao
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Generalised Local Fractional Hermite-Hadamard Type Inequalities on Fractal Sets
Fractal geometry and analysis constitute a growing field, with numerous applications, based on the principles of fractional calculus. Fractals sets are highly effective in improving convex inequalities and their generalisations.
Peter Olamide Olanipekun
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