Results 261 to 270 of about 823,067 (286)
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Γ-convergence of Variational Integrators for Constrained Systems

Journal of Nonlinear Science, 2008
Mechanical systems in an \(n\)-dimensional configuration space that can be described by the evolution \(t\mapsto u(t)\in \mathbb{R}^n\), with time \(t\) subject to the potential \(V: \mathbb{R}^n\to \mathbb{R}\) and subject to holonomic constraints are investigated.
Schmidt, Bernd   +2 more
openaire   +2 more sources

Coupling proximal methods and variational convergence

ZOR Zeitschrift f� Operations Research Methods and Models of Operations Research, 1993
The author studies an approximation method for solving the problem: find \(z\in H\), such that \(0\in T(z)\), where \(H\) is a real Hilbert space and \(T: H\to H\) is a maximal monotone operator. The method is obtained by coupling the proximinal point algorithm with a data perturbation by variational convergence.
openaire   +1 more source

Convergences for variational inequalities and generalized variational inequalities

1997
Summary: Let \(E\) be a topological vector space and consider, for any \(n\in\mathbb{N}\), the variational inequality: find \(u\in E\) such that \(f_n(u,w)+ \phi_n(u)\leq\phi_n(w)\) for any \(w\in E\), where \(f_n: E\to\mathbb{R}\) and \(\phi_n: E\to\mathbb{R}\cup\{+\infty\}\).
LIGNOLA, MARIA BEATRICE   +1 more
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On the convergence of genetic algorithms – a variational approach

Probability Theory and Related Fields, 2004
The main aim of this paper is to study a variational approach to genetic algorithms with mutation and interactive selection. A variational approach provides the existence and uniqueness of stationary states and (exponential) stability of the genetic algorithms mentioned above.
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On the geometry of weak convergence without total variation convergence

We study some geometric consequences of the discrepancy between weak and total variation convergence of probability measures. We consider a sequence of probability measures on $\mathbb R^d$, admitting densities with respect to the Lebesgue measure, that converge weakly to a limiting measure but stay bounded away from it in total variation distance.
Bariletto, Nicola, Walker, Stephen G.
openaire   +1 more source

Weak convergence for variational inequalities with inertial-type method

Applicable Analysis, 2022
Yekini Shehu, Olaniyi S Iyiola
exaly  

Convergence, Discourse and Variation

2014
Norbert Dittmar, Peter Schlobinski
openaire   +1 more source

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