Results 1 to 10 of about 183,651 (163)

Geometric convergence rates for cardinal spline subdivision with general integer arity

open access: yesJournal of Numerical Analysis and Approximation Theory, 2019
A rigorous convergence analysis is presented for arbitrary order cardinal spline subdivision with general integer arity, for which the binary case, with arity two, is a well-studied subject.
Johan de Villiers   +1 more
doaj   +7 more sources

Convergence and rate of convergence of a foraging ant model [PDF]

open access: yes2007 IEEE Congress on Evolutionary Computation, 2007
We present an ant model that solves a discrete foraging problem. We describe simulations and provide a complete convergence analysis: we show that the ant population computes the solution of some optimal control problem and converges in some well defined sense.
Boumaza, Amine, Scherrer, Bruno
openaire   +2 more sources

On Convergence Rates of Some Limits

open access: yesMathematics, 2020
In 2019 Seneta has provided a characterization of slowly varying functions L in the Zygmund sense by using the condition, for each y > 0 , x L ( x + y ) L ( x ) − 1 → 0 as x → ∞ .
Edward Omey, Meitner Cadena
doaj   +1 more source

Convergence Rates for Hestenes’ Gram–Schmidt Conjugate Direction Method without Derivatives in Numerical Optimization

open access: yesAppliedMath, 2023
In this work, we studied convergence rates using quotient convergence factors and root convergence factors, as described by Ortega and Rheinboldt, for Hestenes’ Gram–Schmidt conjugate direction method without derivatives.
Ivie Stein, Md Nurul Raihen
doaj   +1 more source

Convergence Aspects of Some Robust Estimators Based Upon Prefiltering of the Input-Output Data [PDF]

open access: yesModeling, Identification and Control, 1990
By prefiltering the input/output data and employing certain decentralized estimation techniques, it is possible to improve the robustness of some estimators significantly.
Rolf Henriksen, Erik Weyer
doaj   +1 more source

A Least Squares Estimator for Gradual Change-Point in Time Series with m-Asymptotically Almost Negatively Associated Errors

open access: yesAxioms, 2023
As a new member of the NA (negative associated) family, the m-AANA (m-asymptotically almost negatively associated) sequence has many statistical properties that have not been developed. This paper mainly studies its properties in the gradual change point
Tianming Xu, Yuesong Wei
doaj   +1 more source

The effects of fiscal policy shocks on the business environment

open access: yesJournal of Business Economics and Management, 2021
Fiscal policy influences economic conditions through public spending and taxes, generating positive or negative impulses, both on short and long term. The present research focuses on analysing the effects of the discretionary changes in the fiscal policy
Gabriela Dobrotă   +2 more
doaj   +1 more source

Trade and the rate of income convergence [PDF]

open access: yesThe Journal of International Trade & Economic Development, 2004
To the extent that trade policy affects trade flows between countries, the ramifications can be far-reaching from an economic growth perspective. This paper examines one aspect of these ramifications, namely the impact of changes in the extent of trade between countries on changes in the rate of reduction in the size of the income gap that exists ...
Dan Ben-David, Ayal Kimhi
openaire   +2 more sources

A note on the convergence rates in precise asymptotics

open access: yesJournal of Inequalities and Applications, 2019
Let {X,Xn,n≥1} $\{X, X_{n}, n\geq1\}$ be a sequence of i.i.d. random variables with EX=0 $EX=0$, EX2=σ2 $EX^{2}=\sigma^{2}$. Set Sn=∑k=1nXk $S_{n}=\sum_{k=1}^{n}X_{k}$ and let N ${\mathcal {N} }$ be the standard normal random variable. Let g(x) $g(x)$ be
Yong Zhang
doaj   +1 more source

Robust estimation for varying coefficient partially functional linear regression models based on exponential squared loss function

open access: yesOpen Mathematics, 2022
In this article, we present a new robust estimation procedure based on the exponential squared loss function for varying coefficient partially functional linear regression models, where the slope function and nonparametric coefficients are approximated ...
Sun Jun, Liu Wanrong
doaj   +1 more source

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