Evidence map›Paper›PMID 38926460›Full record

ArticleScientific reports2024

Numerical study of diffusive fish farm system under time noise.

Muhammad Waqas Yasin, Nauman Ahmed, Jawaria Saeed, Muhammad Zafarullah Baber, Syed Mansoor Ali, Ali Akgül, Shah Muhammad, Murad Khan Hassani, Mubasher Ali

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Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Muhammad Waqas YasinDepartment of Mathematics and Statistics, The University of Lahore, Lahore, Pakistan.
Nauman AhmedDepartment of Mathematics and Statistics, The University of Lahore, Lahore, Pakistan. nauman.ahmd01@gmail.com.
Jawaria SaeedDepartment of Mathematics and Statistics, The University of Lahore, Lahore, Pakistan.
Muhammad Zafarullah BaberDepartment of Mathematics and Statistics, The University of Lahore, Lahore, Pakistan.
Syed Mansoor AliDepartment of Physics and Astronomy, College of Science, King Saud University, P.O. BOX 2455, 11451, Riyadh, Saudi Arabia.
Ali AkgülDepartment of Mathematics, Art and Science Faculty, Siirt University, 56100, Siirt, Turkey. aliakgul00727@gmail.com.
Shah MuhammadDepartment of Mathematics, College of Science, King Saud University, P.O. Box 2455, 11451, Riyadh, Saudi Arabia.
Murad Khan HassaniDepartment of Mathematics, Ghazni University, Ghazni, Afghanistan. mhassani@gu.edu.af.
Mubasher AliSchool of Engineering and Digital Arts, University of Kent, Canterbury, Kent, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the current study, the fish farm model perturbed with time white noise is numerically examined. This model contains fish and mussel populations with external food supplied. The main aim of this work is to develop time-efficient numerical schemes for such models that preserve the dynamical properties. The stochastic backward Euler (SBE) and stochastic Implicit finite difference (SIFD) schemes are designed for the computational results. In the mean square sense, both schemes are consistent with the underlying model and schemes are von Neumann stable. The underlying model has various equilibria points and all these points are successfully gained by the SIFD scheme. The SIFD scheme showed positive and convergent behavior for the given values of the parameter. As the underlying model is a population model and its solution can attain minimum value zero, so a solution that can attain value less than zero is not biologically possible. So, the numerical solution obtained by the stochastic backward Euler is negative and divergent solution and it is not a biological phenomenon that is useless in such dynamical systems. The graphical behaviors of the system show that external nutrient supply is the important factor that controls the dynamics of the given model. The three-dimensional results are drawn for the various choices of the parameters.

Indexed as

FishesAnimalsAquacultureComputer SimulationFisheriesModels, TheoreticalStochastic ProcessesAnalysis of schemesFinite difference schemesSimulationsStochastic PDEs

Identifiers

PMID38926460
PMCPMC11208429

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