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Machine-learning-based deep semantic analysis approach for forecasting new technology convergence
, 2020Technology 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
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On Large Deviation Convergence of Invariant Measures
Journal of Theoretical Probability, 2003The 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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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 +3 more
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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 +3 more
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The Associative Part of a Convergence Domain is Invariant
Canadian Mathematical Bulletin, 1970Of special interest in summability theory are those conservative matrices possessing the "mean-value property". If cA={x: Ax ∊ c} denotes the convergence domain of a conservative matrix A, then A has the mean-value property in case, for each x in cA, there exists M = M(A, x) > 0 such that1This property has been considered by many writers and has ...
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Rate of convergence for the invariance principle
Lithuanian Mathematical Journal, 1986See the review in Zbl 0582.60043.
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Invariance of statistical causality under convergence
Statistics & Probability Letters, 2011zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Petrović, Ljiljana +1 more
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On the Rate of Convergence in the Donsker–Prokhorov Invariance Principle
Theory of Probability & Its Applications, 1984Translation from Teor. Veroyatn. Primen. 28, No.2, 367-372 (Russian) (1983; Zbl 0512.60018).
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Convergence of Invariant Distances on Decreasing Domains
Complex Variables, Theory and Application: An International Journal, 2002We 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.
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Invariant convergence in asymmetric metric spaces
Summary: The main purpose of this paper is to extend the invariant convergence, statistical invariant convergence, invariant Cauchy sequence and invariant continuity in asymmetric metric spaces. Also, we investigate relations between forward and backward invariant convergent sequences.Soylemez, Busra, Nuray, Fatih
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