Results 31 to 40 of about 2,433,812 (201)
Mathematics, 2022 This work presents a generalized implementation of the infeasible primal-dual interior point method (IPM) achieved by the use of non-Archimedean values, i.e., infinite and infinitesimal numbers.
Lorenzo Fiaschi, Marco Cococcioni
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Bayesian estimation of copula parameters for wind speed models of dependence
IET Renewable Power Generation, 2021 Modelling the uncertainty of wind speed is essential in power flow analysis. Having abundant knowledge of the wind speed in an area is critical. A low volume of data can increase uncertainty in wind speed analysis. Spatial dependencies are often modelled
Saul B. Henderson +2 more
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Non-archimedean harmonic analysis on topological semigroups
Indagationes Mathematicae (Proceedings), 1983 Non-archimedean functional analysis (i.e. the study of functions and measures with values in a complete topological field with a non- archimedean valuation) is brought to bear on commutative semigroup theory. The best known class of topological semigroups is that of groups, notably compact ones; opposite that class a good deal is known on topological ...
Dzinotyiweyi, H.A.M., Rooij, A.C.M. van
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Non-archimedean Eberlein-mulian theory
International Journal of Mathematics and Mathematical Sciences, 1996 It is shown that, for a large class of non-archimedean normed spaces E, a subset X is weakly compact as soon as f(X) is compact for all f∈E′ (Theorem 2.1), a fact that has no analogue in Functional Analysis over the real or complex numbers.
T. Kiyosawa, W. H. Schikhof
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Non-radial functions, nonlocal operators and Markov processes over p-adic numbers
Universitas Scientiarum, 2019 The main goal of this article is to study a new class of nonlocal operators and the Cauchy problem for certain parabolic-type pseudodifferential equations naturally associated with them.
Leonardo Fabio Chacón-Cortés, Oscar Francisco Casas-Sánchez
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On New Three- and Two-Dimensional Ratio-Power Copulas
Computational Journal of Mathematical and Statistical Sciences, 2023 In recent decades, a great variety of dependence models for data analysis have been elaborated. Among them, those based on copulas have demonstrated a great ability to capture the possible dependence between quantitative measures.
Christophe Chesneau
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Forum of Mathematics, Sigma, 2020 Many phenomena in geometry and analysis can be explained via the theory of $D$-modules, but this theory explains close to nothing in the non-archimedean case, by the absence of integration by parts. Hence there is a need to look for alternatives.
AVRAHAM AIZENBUD, RAF CLUCKERS
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An alternative 2-phase method for evaluating of DMUs using DEA [PDF]
Iranian Journal of Numerical Analysis and Optimization, 2013 Computationally, selection of a proper numerical value for infinitesimal non Archimedean epsilon in DEA models has some difficulties. Although there are several algorithms for selecting the proper non-Archimedean epsilon, it is important to introduce ...
Mohammadreza Alirezaee
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Journal of Ocean Engineering and Science, 2021 Flood is becoming the severe hydrologic issue at the Kelantan River basin in Malaysia. The joint distribution analysis amongst multiple interacting flood characteristics, i.e., flood peak discharge flow, volume, and duration series usually provide a ...
Shahid Latif, Firuza Mustafa
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Copula Models of COVID-19 Mortality in Minnesota and Wisconsin
Risks, 2023 In this study, we assess COVID-19-related mortality in Minnesota and Wisconsin with the aim of demonstrating both the temporal dynamics and the magnitude of the pandemic’s influence from an actuarial risk standpoint. In the initial segment of this paper,
Xianhui Lei, Arkady Shemyakin
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