نتایج جستجو برای: generalized additive functional inequality

تعداد نتایج: 854678  

Journal: :Journal of the Chungcheong Mathematical Society 2013

2001
SOON-MO JUNG BYUNGBAE KIM

The main purpose of this paper is to prove the Hyers-Ulam stability of the additive functional equation for a large class of unbounded domains. Furthermore, by using the theorem, we prove the stability of Jensen's functional equation for a large class of restricted domains. 1. Introduction. The starting point of studying the stability of functional equations seems to be the famous talk of Ulam ...

Journal: :Pediatrics 2014
John Eckenrode Elliott G Smith Margaret E McCarthy Michael Dineen

OBJECTIVE To examine the relation between county-level income inequality and rates of child maltreatment. METHODS Data on substantiated reports of child abuse and neglect from 2005 to 2009 were obtained from the National Child Abuse and Neglect Data System. County-level data on income inequality and children in poverty were obtained from the American Community Survey. Data for additional cont...

Journal: :Journal of Mathematical Analysis and Applications 2008

H. Khodaei M. Kamyar

Moslehian  and Mirmostafaee, investigated the fuzzystability problems for the Cauchy additive functional equation, the Jensen additivefunctional equation and the cubic functional equation in fuzzyBanach spaces. In this paper, we investigate thegeneralized Hyers–-Ulam--Rassias stability of the generalizedadditive functional equation with $n$--variables, in fuzzy Banachspaces. Also, we will show ...

2006
Deqin Chen Kelin Li

In this paper, a generalized model of bi-directional associative memory (BAM) neural networks delays and impulses is investigated. By constructing suitable Lyapunov functional, Halanaly differential inequality and M -matrix theory, some sufficient conditions for global exponential stability of generalized BAM neural networks with delays and impulses are obtained. An examples are given to show t...

2004
GARETH M. JAMES BERNARD W. SILVERMAN

In this article we are interested in modeling the relationship between a scalar, Y , and a functional predictor, X(t). We introduce a highly flexible approach called ”Functional Adaptive Model Estimation” (FAME) which extends generalized linear models (GLM), generalized additive models (GAM) and projection pursuit regression (PPR) to handle functional predictors. The FAME approach can model any...

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