Abstract:except for brief excerpts in connection with reviews or scholarly analysis. Use in connection with any form of information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed is forbidden. The use in this publication of trade names, trademarks, service marks, and similar terms, even if they are not identified as such, is not to be taken as an expression of opinion as to whether or not they are subject to proprietary rights.
“…The part of the approximation theory, which is devoted to these kind of problems, is known as the theory of shape preserving approximation (see e.g. [3,9] for a survey).…”
Abstract. We show that if a linear finite-dimensional operator defined in Sobolev space preserves k-monotonicity then the error of approximation of the operator does not decrease with the increase of smoothness of approximated functions. In other words, there is a saturation effect for linear finite-rank operators defined in Sobolev space and preserving k-monotonicity.
“…The part of the approximation theory, which is devoted to these kind of problems, is known as the theory of shape preserving approximation (see e.g. [3,9] for a survey).…”
Abstract. We show that if a linear finite-dimensional operator defined in Sobolev space preserves k-monotonicity then the error of approximation of the operator does not decrease with the increase of smoothness of approximated functions. In other words, there is a saturation effect for linear finite-rank operators defined in Sobolev space and preserving k-monotonicity.
“…This theory studies approximation properties of the different methods for approximation of functions preserving its shape properties (monotonicity, convexity). The most significant results were gathered in [1], [2]. Note that if a function f has some shape properties, it usually means that element f belongs to a cone (a convex set, closed under nonnegative scalar multiplication).…”
“…The main aim of this note is to use the so-called Bernstein operator of max-product kind, firstly introduced (and formally studied) in the book [14], p. 325-326 and completely studied in the papers [9], [8], [13], for approximating fuzzy numbers with continuous membership functions.…”
Section: Introductionmentioning
confidence: 99%
“…For a positive continuous function f : [0, 1] → R, the max-product Bernstein operator was defined in [14], by Notice that the max-product Bernstein operator is obtained from the linear Bernstein polynomial written in the form…”
In this paper firstly we extend from [0, 1] to an arbitrary compact interval [a, b], the definition of the nonlinear Bernstein operators of max-product kind, B
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.