Results 251 to 260 of about 566,236 (289)

Trends in Socioeconomic Inequalities of Dental Caries Experience among 12-Year-Olds in Chile: An Ecological Cohort Study.

open access: yesCaries Res
de Aquino Goulart M   +5 more
europepmc   +1 more source

Variational Inequalities in Vector Optimization

2007
In this paper we investigate the links among generalized scalar variational inequalities of differential type, vector variational inequalities and vector optimization problems. The considered scalar variational inequalities are obtained through a nonlinear scalarization by means of the so called “oriented distance” function [14,15].
GIOVANNI P. CRESPI   +2 more
openaire   +2 more sources

Optimal Control for Variational Inequalities

SIAM Journal on Control and Optimization, 1986
The author derives first order necessary optimality conditions for control problems governed by elliptic variational inequalities, in the case of both distributed and boundary control. The form of these conditions allows as an application to obtain bang-bang results for certain classes of admissible controls.
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Inequality and Optimal Redistribution

2019
From the 1980s onward, income inequality increased in many advanced countries. It is very difficult to account for the rise in income inequality using the standard labour supply/demand explanation. Fiscal redistribution has become less effective in compensating increasing inequalities since the 1990s. Some of the basic features of redistribution can be
Tanninen Hannu   +2 more
openaire   +1 more source

Optimal trace Nash inequality

Geometric and Functional Analysis, 2001
The author gives lower and upper bounds for the optimal constant~\(C_n\) in the trace Nash inequality \[ \left(\int_{\partial\mathbb R^n_+}u^2 ds\right)^{n\over n-1} \leq C_n\int_{\mathbb R^n_+}\left|\nabla u\right|^2 dx \left(\int_{\partial\mathbb R^n_+}|u|ds\right)^{2\over n-1} .
openaire   +3 more sources

Convexity, Optimization, and Inequalities

2010
Convexity is one of the key concepts of mathematical analysis and has interesting consequences for optimization theory, statistical estimation, inequalities, and applied probability. Despite this fact, students seldom see convexity presented in a coherent fashion. It always seems to take a backseat to more pressing topics.
openaire   +1 more source

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