Results 231 to 240 of about 1,784,243 (270)
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OnQ-order andR-order of convergence

Journal of Optimization Theory and Applications, 1989
We give sufficient conditions for a sequence to have the Q-order and/or the R-order of convergence greater than one. If an additional condition is satisfied, then the sequence has an exact Q-order of convergence. We show that our results are sharp and we compare them with older results.
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λ-Statistical convergence of order α

Acta Mathematica Scientia, 2011
Abstract In this paper, we introduce the concept of λ-statistical convergence of order α. Also some relations between the λ-statistical convergence of order α and strong ( V , λ)-summability of order α are given.
R. Çolak, Ç.A. Bektaş
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On Order Convergence of Nets

Positivity, 2005
The article is a joint paper of the author and the late Professor Yuri Abramovich (1945--2003). It contains mainly a few short but nice methodological remarks about slight inaccuracies in defining order convergent nets. The author proves that these inaccuracies are immaterial for positive linear operators in Riesz spaces.
Yuri Abramovich, Gleb Sirotkin
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Concerning Order of Convergence for Subdivision

Numerical Algorithms, 2004
The paper deals with order of \(C\)-convergence for subdivision algorithms. The usual definition of \(C\)-convergence leads to approximation properties of the so-called Schoenberg operator, subject that stability of the generators of the underlying shift invariant space assumed. However, this approach does not lead to a satisfying order result for many
CONTI, COSTANZA, K. JETTER
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Convergence Properties of High-order Boltzmann Machines

Neural Networks, 1996
The high-order Boltzmann machine (HOBM) approximates probability distributions defined on a set of binary variables, through a learning algorithm that uses Monte Carlo methods. The approximation distribution is a normalized exponential of a consensus function formed by high-degree terms and the structure of the HOBM is given by the set of weighted ...
Albizuri, F. Xabier   +3 more
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Rate of Convergence of Intermediate Order Statistics

Journal of Theoretical Probability, 1997
Let \(X_1,\dots, X_n\) be an i.i.d. sample and \(X_{1:n}\leq\dots\leq X_{n:n}\) be its order statistic. If \(k=k_n\to\infty\) and \(k/n\to 0\), then \(X_{n-k+1:n}\) is called an intermediate order statistic. Under various conditions, the exact convergence rates are derived for the uniform convergence of the density of the intermediate statistics ...
Cheng, S (Shihong)   +2 more
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Orders of convergence for superlineary convergent chaotic iterations

Computing, 1991
If on computers with multiprocessors individual processors are allowed to proceed without waiting for each other it is natural to consider so- called chaotic iterations for computations on such computers. The author proves a theorem giving conditions for superlinear convergence of chaotic iterations in an appropriate setting.
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Orders of Convergence for Iterative Procedures

SIAM Journal on Numerical Analysis, 1971
This paper is concerned with the order of convergence of iterative procedures for finding a zero of a nonlinear function defined on $R^n $. Some of the results provide conditions for determining the precise order of convergence of a method rather than the usual lower bound on the order.
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