Results 11 to 20 of about 12,477,982 (369)
New inequalities via n-polynomial harmonically exponential type convex functions
In this work we introduced a new class of functions called n-polynomial harmonically exponential type convex and study some of their algebraic properties.
Wei Gao+5 more
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An exponential-type integrator for the KdV equation
We introduce an exponential-type time-integrator for the KdV equation and prove its first-order convergence in H1\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy ...
M. Hofmanová, Katharina Schratz
semanticscholar +6 more sources
Tauberian theorems of exponential type [PDF]
Yuji Kasahara
openalex +4 more sources
Entire functions of exponential type [PDF]
Fred Gross
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A Computational Approach to Exponential-Type Variable-Order Fractional Differential Equations [PDF]
We investigate the properties of some recently developed variable-order differential operators involving order transition functions of exponential type.
R. Garrappa, A. Giusti
semanticscholar +1 more source
Certain exponential type m-convexity inequalities for fractional integrals with exponential kernels
By applying exponential type $ m $-convexity, the Hölder inequality and the power mean inequality, this paper is devoted to conclude explicit bounds for the fractional integrals with exponential kernels inequalities, such as right-side Hadamard type ...
Hao Wang+3 more
doaj +1 more source
Neutrosophic Generalized Exponential Robust Ratio Type Estimators
Estimators proposed under classical statistics fail if data are vague or indeterminate. Neutrosophic Statistics are the only alternative because its deal with indeterminacy.
Yashpal Singh Raghav
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Exponential type duality for η-approximated variational problems [PDF]
In this article, we use the so-called η-approximation method for solving a new class of nonconvex variational problems with exponential (p, r)-invex functionals.
Jha Shalini, Das Prasun, Antczak Tadeusz
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Gibbs posterior concentration rates under sub-exponential type losses [PDF]
Bayesian posterior distributions are widely used for inference, but their dependence on a statistical model creates some challenges. In particular, there may be lots of nuisance parameters that require prior distributions and posterior computations, plus
Nicholas Syring, Ryan Martin
semanticscholar +1 more source
Bergman spaces with exponential type weights
For 1 ≤ p < ∞ $1\le ...
Hicham Arroussi
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