Results 201 to 210 of about 307,922 (236)

Asymptotic Convergence in Quantum Scattering Theory

Journal of Computational Methods in Sciences and Engineering, 2001
The key problem in quantum scattering theory is the probability conservation, i.e., the unitarity of the S-matrix, which connects the initial with the final state of evolution of the considered physical system. This problem is not possible to solve if the scattering states neglect the so-called asymptotic convergence problem, which require that the ...
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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

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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