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Mathematical Biosciences and Engineering
Article . 2023 . Peer-reviewed
Data sources: Crossref
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https://dx.doi.org/10.60692/9w...
Other literature type . 2023
Data sources: Datacite
https://dx.doi.org/10.60692/bz...
Other literature type . 2023
Data sources: Datacite
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On a generalized Klausmeier model

على نموذج كلاوسمير المعمم
Authors: Martha Paola Cruz de la Cruz; Daniel Alfonso Santiesteban; Luis Miguel Martín Álvarez; Ricardo Abreu Blaya; Hernández-Gómez Juan Carlos;

On a generalized Klausmeier model

Abstract

<abstract><p>In this paper we study a generalized Klausmeier model replacing the integer derivative by a local fractional derivative. This derivative enables us to consider a wide range of systems with already well-known derivatives. We analyze the stability of this new model as well as the homotopic perturbation method. Finally, an inverse problem associated with a real data set is solved.</p></abstract>

Keywords

Financial economics, Economics, Social Sciences, Geometry, Set (abstract data type), stability analysis, Theory and Applications of Fractional Differential Equations, Mathematical analysis, Quantum mechanics, Decision Sciences, Perturbation (astronomy), Machine learning, QA1-939, FOS: Mathematics, homotopic perturbation method, Stability (learning theory), Anomalous Diffusion Modeling and Analysis, Applied Mathematics, Physics, Mathematical optimization, Fractional calculus, fractional derivative, Applied mathematics, Computer science, Programming language, Fractional Derivatives, Modeling and Simulation, Derivative (finance), Physical Sciences, Uncertainty Quantification and Sensitivity Analysis, Inverse problem, inverse problem, Integer (computer science), Statistics, Probability and Uncertainty, Inverse, klausmeier model, TP248.13-248.65, Mathematics, Biotechnology

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
gold