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A Note on Rough Abel Convergence

open access: yesMathematical Sciences and Applications E-Notes, 2023
In this paper, we define a new type of Abel convergence by using the rough convergence of a sequence. We also obtained some results for this convergence.
Öznur ÖLMEZ, Ulas YAMANCİ
openaire   +2 more sources

A comprehensive mortise and tenon structure selection method based on Pugh's controlled convergence and rough Z-number MABAC method.

open access: yesPLoS ONE, 2023
Mortise and tenon joints are widely used in the building and furniture industries because of their excellent mechanical and eco-friendly properties. In real-life cases, there are usually many available alternative structures for a joint area, it is a ...
Bin Shang, Zhe Chen, Qing Ma, Yuhang Tan
doaj   +1 more source

On Generalized Difference Rough Ideal Statistical Convergence in Neutrosophic Normed Spaces [PDF]

open access: yesNeutrosophic Sets and Systems
This article’s main goal is to provide and investigate a novel statistical convergence generalisation for generalized difference sequences in Neutrosophic Normed Spaces (NNS) called rough ideal statistical convergence.
Manpreet Kaur, Meenakshi Chawla
doaj   +1 more source

A simple proof of distance bounds for Gaussian rough paths [PDF]

open access: yes, 2012
We derive explicit distance bounds for Stratonovich iterated integrals along two Gaussian processes (also known as signatures of Gaussian rough paths) based on the regularity assumption of their covariance functions.
Riedel, Sebastian, Xu, Weijun
core   +2 more sources

Ramazan Sunar, Rough convergence in A-metric spaces

open access: yesEuropean Journal of Mathematics and Applications, 2023
The purpose of this study is to define rough convergence of sequences in an A-metric space, discuss its fundamental properties, and examine the relationships between rough convergence and rough Cauchy sequence in A-metric spaces.
Mukaddes Arslan
doaj  

ROUGH ∆I-STATISTICAL CONVERGENCE

open access: yes, 2022
In this study, we examine rough.I-statistical convergence for difference sequences as an extension of rough convergence. We investigate the set of rough Delta I-statistical limit points of a difference sequence and analyze the results with proofs.
Kişi, Ömer, Dundar, Erdinc
openaire   +3 more sources

On deferred I-statistical rough convergence of difference sequences in neutrosophic normed spaces [PDF]

open access: yesNeutrosophic Sets and Systems
In this study, using the concepts of deferred density and the notion of the ideal I, we extend the idea of rough convergence by introducing the notion of deferred I–statistical rough convergence via difference operators in the framework of neutrosophic ...
Mukhtar Ahmad   +2 more
doaj   +1 more source

On the pathwise approximation of stochastic differential equations [PDF]

open access: yes, 2015
We consider one-step methods for integrating stochastic differential equations and prove pathwise convergence using ideas from rough path theory. In contrast to alternative theories of pathwise convergence, no knowledge is required of convergence in pth ...
Shardlow, Tony, Taylor, Phillip
core   +2 more sources

The PML for rough surface scattering [PDF]

open access: yes, 2008
In this paper we investigate the use of the perfectly matched layer (PML) to truncate a time harmonic rough surface scattering problem in the direction away from the scatterer.
Abramowitz   +23 more
core   +1 more source

Modeling of Autonomous Underwater Vehicles with Multi-Propellers Based on Maximum Likelihood Method

open access: yesJournal of Marine Science and Engineering, 2020
The hydrodynamic characteristics of multi-propeller autonomous underwater vehicles (AUV) is usually complicated and it is difficult to obtain an accurate mathematical model. A modeling method based on CFD calculation and maximum likelihood identification
Feiyan Min, Guoliang Pan, Xuefeng Xu
doaj   +1 more source

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