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Iterative eigenvalue analysis is performed using the modified geometric stiffness matrix, to obtain the effective length factors of each column using the critical load expression.
In this paper, numerical procedures for an iterative buckling analysis using a modified geometric stiffness matrix, are described to obtain the effective length factors of the columns in multi-story frames.
The contrast and analysis of the simulation model and the physical experiments suggest that the further correctly modified geometric parameters and boundary conditions according to practical situations can significantly improve the accuracy of the numerical calculation.
We described the number of links attached to a new insect by a modified geometric distribution.
We used a modified geometric distribution that allows the ratio of insects with one link to insects with two or more links to be higher compared to a pure geometric distribution (see details in Methods, Analysis and modelling).
The date of arrival is attributed to each pollinator For each day of the season, a number of links (modified geometric distribution) is attributed to the pollinators entering the network on this day.
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Morphological filters are non-linear signal transformations that locally modify geometric signal features.
Further, several distributions are obtained as special cases of this family including the extended exponential geometric (EEG), modified Weibull geometric (MWG), exponential power geometric (EPG), log-Weibull geometric (LWG), generalized power Weibull geometric (GPWG), among several others.
In this paper, we introduce and study a new class of distributions called the extended-G geometric (EGG) family that generalizes the Weibull geometric and modified Weibull geometric distributions proposed by Barreto-Souza et al. (2011) and Wang and Elbatal (2015), respectively, among other distributions.
Modified Weibull geometric distribution The case (H x)=x^{gamma }exp (lambda x)) and (h(x)=x^{gamma -1},exp (lambda x) (gamma + lambda x),) where γ>0 and λ≥0, in Eq. (4), gives the modified Weibull geometric (MWG) distribution.
Dwell positions and dwell weights were manually modified after geometric and dose point optimization until dose-volume constraints were optimally matched.
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