Results 231 to 240 of about 15,174 (247)

On the Convergence Rate in Precise Asymptotics

Theory of Probability & Its Applications, 2023
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Asymptotic development by \(\Gamma{}\)-convergence

1993
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Anzellotti, Gabriele, Baldo, Sisto
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Asymptotic convergence of genetic algorithms

Advances in Applied Probability, 1998
We study a markovian evolutionary process which encompasses the classical simple genetic algorithm. This process is obtained by randomly perturbing a very simple selection scheme. Using the Freidlin-Wentzell theory, we carry out a precise study of the asymptotic dynamics of the process as the perturbations disappear.
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A convergence theorem for asymptotic contractions

Journal of Fixed Point Theory and Applications, 2008
We show that to each asymptotic contraction T with a bounded orbit in a complete metric space X, there corresponds a unique point x* such that all the iterates of T converge to x*, uniformly on any bounded subset of X. If, in addition, some power of T is continuous at x*, then x* is a fixed point of T.
Simeon Reich, Alexander J. Zaslavski
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Asymptotic Designs and Uniform Convergence

2013
In order to study the asymptotic properties of estimators, we need to indicate how the sequence of design points x 1, x 2, … in \(\mathcal{X} \subset {\mathbb{R}}^{d}\) is generated, i.e., specify some properties of the experimental design.
Luc Pronzato, Andrej Pázman
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Asymptotic convergence of transmission energy forms

2003
Summary: We consider second-order transmission problems for prefractal layers approximating the Koch curve. We prove, in a suitable function space, the convergence of the solutions to these problems to the solutions of the related transmission problems on the fractal asymptotic curve.
LANCIA, Maria Rosaria, VIVALDI, Maria Agostina   +1 more
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THE CONVERGENCE RATES OF ASYMPTOTICALLY BAYES DISCRIMINATION

Acta Mathematica Scientia, 1985
Let \(P_ D(e)\) be the Bayes discrimination which minimizes the error probability, and \(P_{D_ n}(e)\) be the conditional error probability given the training samples. Here \(D=D(x)=p_ 1f_ 1(x)-p_ 0f_ 0(x)\), where \(p_ j=P(\theta =j)\), \(j=0,1\), for the population (X,\(\theta)\) in \(R^ d\), and \(f_ j(x)\) is the conditional density function of X ...
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Asymptotic Convergence and the Coulomb Interaction

Journal of Mathematical Physics, 1964
A definition of asymptotic convergence is given for nonrelativistic time-dependent scattering problems involving Coulomb potentials. Convergence proofs have been found both for potential and for n-body multichannel scattering. For pure Coulomb potential scattering, the Mo/ller wave matrix is computed explicitly and found to have its usual meaning.
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Asymptotic Convergence

2021
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Asymptotic convergence of renormalized perturbative expansions

Il Nuovo Cimento, 1962
It is proved that the renormalized perturbative expansions of propagation kernels in configuration space, for finite space-time volume of integration, are asymptotically convergent in the sense of Poincare, if it is assumed that the kernels themselves are continuous functions of the expansion parameter in a neighborhood of the value of the parameter ...
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