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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

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.
openaire   +2 more sources

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   +3 more
semanticscholar   +1 more source

The Associative Part of a Convergence Domain is Invariant

Canadian Mathematical Bulletin, 1970
Of 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, 1986
See the review in Zbl 0582.60043.
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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   +1 more
openaire   +1 more source

On the Rate of Convergence in the Donsker–Prokhorov Invariance Principle

Theory of Probability & Its Applications, 1984
Translation from Teor. Veroyatn. Primen. 28, No.2, 367-372 (Russian) (1983; Zbl 0512.60018).
openaire   +1 more source

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

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
openaire   +3 more sources

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