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In this paper we present a Stone-Weierstrass type result in the context of continuous interval-valued functions defined on a compact Hausdorff space. Namely, we provide a constructive proof of the approximation.

Functional Analysis · Mathematics 2024-01-25 Juan Jose Font , Sergio Macario

In this paper we provide new several Jackson-type approximations results for continuous fuzzy-number-valued functions which improve several previous ones. We use alternative techniques adapted from Interval Analysis which rely on the…

General Mathematics · Mathematics 2025-12-25 Juan J. Font , Sergio Macario

Measures of uncertainty and divergence are introduced for interval-valued probability distributions and are shown to have desirable mathematical properties. A maximum uncertainty inference procedure for marginal interval distributions is…

Artificial Intelligence · Computer Science 2013-04-08 Michael Pittarelli

We consider pairs of a non-empty compact connected and locally connected Hausdorff space and a real-valued continuous function. Our aim is to measure the difference between this kind of the pairs. In this notes we introduce new…

Functional Analysis · Mathematics 2009-03-20 M. Montserrat Alonso Ferrero

Inequalities play an important role in pure and applied mathematics. In particular, Opial inequality plays a main role in the study of the existence and uniqueness of initial and boundary value problems for differential equations. It has…

Classical Analysis and ODEs · Mathematics 2022-04-22 Ana Portilla , José M. Rodríguez , José M. Sigarreta

We establish an integral representation for Popoviciu's convex functions of $d$ variables. This representation serves as a~foundation for deriving several functional inequalities, analogous to those well-known for usual convex functions.…

Classical Analysis and ODEs · Mathematics 2025-04-23 Andrzej Komisarski , Teresa Rajba

This paper introduces the extended set difference, a generalization of the Hukuhara and generalized Hukuhara differences, defined for compact convex sets in $\mathbb{R}^d$. The proposed difference guarantees existence for any pair of such…

Optimization and Control · Mathematics 2025-10-01 Arie Beresteanu , Behrooz Moosavi Ramezanzadeh

Recent innovations in the differential calculus for functions of non-commuting variables, beginning with a quaternionic variable, are now extended to consider some integration.

Functional Analysis · Mathematics 2008-08-18 Charles Schwartz

In this paper, new identity for fractional integrals have been defined. By using of this identity, we obtained new general inequalities containing all of Hadamard, Ostrowski and Simpson type inequalities for for functions whose derivatives…

Classical Analysis and ODEs · Mathematics 2013-08-01 Imdat Iscan

We propose a new fractional derivative, the Hilfer-Katugampola fractional derivative. Motivated by the Hilfer derivative this formulation interpolates the well-known fractional derivatives of Hilfer, Hilfer-Hadamard, Riemann-Liouville,…

Classical Analysis and ODEs · Mathematics 2017-11-13 D. S. Oliveira , E. Capelas de Oliveira

New identity for fractional integrals have been defined. By using of this identity, we obtained new estimates on generalization of Hadamard, Ostrowski and Simpson type inequalities for s-convex, quasi-convex, m-convex functions via Riemann…

Classical Analysis and ODEs · Mathematics 2012-08-09 Imdat Iscan

For distributions, we build a theory of higher order pointwise differentiability comprising, for order zero, {\L}ojasiewicz's notion of point value. Results include Borel regularity of differentials, higher order rectifiability of the…

Functional Analysis · Mathematics 2021-03-24 Ulrich Menne

In this paper, a simplified second-order Gaussian Poincar\'e inequality for normal approximation of functionals over infinitely many Rademacher random variables is derived. It is based on a new bound for the Kolmogorov distance between a…

Probability · Mathematics 2023-01-31 Peter Eichelsbacher , Benedikt Rednoß , Christoph Thäle , Guangqu Zheng

There are many functions which are continuous everywhere but not differentiable at some points, like in physical systems of ECG, EEG plots, and cracks pattern and for several other phenomena. Using classical calculus those functions cannot…

Classical Analysis and ODEs · Mathematics 2015-05-26 Uttam Ghosh , Srijan Sengupta , Susmita Sarkar , Shantanu Das

We present a new method for proving Correa-Jofr\'e-Thibault theorem that monotonicity of subdifferential implies convexity of the function. This new method is based on barrier functions. Barrier functions help overcome some of the main…

Functional Analysis · Mathematics 2024-08-05 Milen Ivanov , Nadia Zlateva

Some Hermite-Hadamard's mid-point type inequalities related to Katugampola fractional integrals are obtained where the first derivative of considered mappings is Lipschitzian or convex. Also some mid-point type inequalities are given for…

General Mathematics · Mathematics 2019-02-21 M. Rostamian Delavar

This is the first of two papers describing the process of fitting experimental data under interval uncertainty. Here I present the methodology, designed from the very beginning as an interval-oriented tool, meant to replace to the large…

Data Analysis, Statistics and Probability · Physics 2009-03-03 Marek W. Gutowski

In this article, we study $gH$-subdifferential calculus of convex interval-valued functions (IVFs) and apply it in a nonconvex composite model of interval optimization problems (IOPs). It is found that the $gH$-directional derivative of…

Optimization and Control · Mathematics 2021-09-30 Anshika , Debdas Ghosh , Ram Surat Chauhan , Radko Mesiar

In this paper, we present the concept of subdifferential for fuzzy n-cell number valued functions. Then we state some theorems related to subdifferentiability based on the new definition. Finally, we present some applications emphasized on…

Optimization and Control · Mathematics 2024-04-30 Samira Fatemi , Ildar Sadeqi , Fridoun Moradlou

In recent years, modeling and analysis of interval-valued time series have garnered increasing attention in econometrics, finance, and statistics. However, these studies have predominantly focused on statistical inference in the forecasting…

Machine Learning · Statistics 2025-04-08 Wan Tian , Zhongfeng Qin
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