Results 271 to 280 of about 1,963,727 (308)

On deferred sequence spaces defined by invariant convergence

Filomat
The main contribution of this paper is to define the notion of deferred Ces?ro mean coming from modern summability methods by using invariant means and study some of its properties and also establish relations among these sequence spaces. These ideas and
Ekrem Savaş
semanticscholar   +1 more source

Convergence Groups with an Invariant Component Pair

American Journal of Mathematics, 1992
Some years ago F. Gehring and G. J. Martin introduced the notion of a convergence group acting on the 2-sphere. These are defined topologically to have the properties characteristic of Kleinian groups. The purpose of this paper is to classify those convergence groups which are most closely analogous to quasi-Fuchsian groups.
Martin, Gaven J., Tukia, Pekka
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Invariance of statistical causality under convergence

Statistics & Probability Letters, 2011
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Petrović, Ljiljana, Dimitrijević, Sladjana   +1 more
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Machine-learning-based deep semantic analysis approach for forecasting new technology convergence

, 2020
Technology convergence is extremely important for creating novel value and introducing new products and services. Recently, a fluctuating and competitive environment has prompted radical technology fusions.
Tae San Kim, S. Sohn
semanticscholar   +1 more source

Highly efficient invariant-conserving explicit Runge-Kutta schemes for nonlinear Hamiltonian differential equations

Journal of Computational Physics, 2020
A unified framework of invariant-conserving explicit Runge-Kutta schemes for the nonlinear Hamiltonian ODEs and PDEs are proposed by utilizing the invariant energy quadratization technique.
Hong Zhang, Xu Qian, Jingye Yan, Songhe Song   +3 more
semanticscholar   +1 more source

On Large Deviation Convergence of Invariant Measures

Journal of Theoretical Probability, 2003
The author presents new results concerning the connection between large deviation principles for trajectories of stochastic processes and the associated invariant measures. Applications to the invariant measures of diffusion processes and queueing processes are provided, too.
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Uniformly $$(B,\lambda )-$$Invariant Statistical Convergence

2020
In the present chapter, we consider some properties of uniformly \((B,\lambda )\)-invariant statistically convergent which is defined using the \(\varphi \)-function and invariant mean. Also we prove some inclusion theorems.
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On the Convergence Rate in the Invariance Principle

Theory of Probability & Its Applications, 1985
Let H be a real separable Hilbert space. An estimate of the convergence rate in the invariance principle for H-valued random variables is obtained. The sequence of coordinates of the random variables is supposed to be martingale-difference.
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Rate of convergence for the invariance principle

Lithuanian Mathematical Journal, 1986
See the review in Zbl 0582.60043.
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Convergence of Invariant Distances on Decreasing Domains

Complex Variables, Theory and Application: An International Journal, 2002
We investigate the behavior of the invariant distances and metrics on decreasing domains in complex Euclidean space. The invariant distances on a domain with some conditions are the limit of them on decreasing sequence of domains converging to the domain.
openaire   +1 more source