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A successive midpoint-based method for the numerical analysis of chaotic systems with local and nonlocal operators
by
İğret Araz, Seda
, Çetin, Mehmet Akif
in
Accuracy
/ Calculus
/ Differential equations
/ fractal differential equations
/ Fractals
/ Krasnoselskii-Krein uniqueness theorem
/ Methods
/ Numerical analysis
/ Operators (mathematics)
/ Ordinary differential equations
/ Partial differential equations
/ Performance evaluation
/ Simulation methods
/ successive midpoint method
/ Uniqueness theorems
2026
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A successive midpoint-based method for the numerical analysis of chaotic systems with local and nonlocal operators
by
İğret Araz, Seda
, Çetin, Mehmet Akif
in
Accuracy
/ Calculus
/ Differential equations
/ fractal differential equations
/ Fractals
/ Krasnoselskii-Krein uniqueness theorem
/ Methods
/ Numerical analysis
/ Operators (mathematics)
/ Ordinary differential equations
/ Partial differential equations
/ Performance evaluation
/ Simulation methods
/ successive midpoint method
/ Uniqueness theorems
2026
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Do you wish to request the book?
A successive midpoint-based method for the numerical analysis of chaotic systems with local and nonlocal operators
by
İğret Araz, Seda
, Çetin, Mehmet Akif
in
Accuracy
/ Calculus
/ Differential equations
/ fractal differential equations
/ Fractals
/ Krasnoselskii-Krein uniqueness theorem
/ Methods
/ Numerical analysis
/ Operators (mathematics)
/ Ordinary differential equations
/ Partial differential equations
/ Performance evaluation
/ Simulation methods
/ successive midpoint method
/ Uniqueness theorems
2026
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A successive midpoint-based method for the numerical analysis of chaotic systems with local and nonlocal operators
Journal Article
A successive midpoint-based method for the numerical analysis of chaotic systems with local and nonlocal operators
2026
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Overview
In this study, we examine the uniqueness conditions for solutions of fractal differential equations using the Krasnoselskii-Krein uniqueness theorem. The analysis establishes sufficient criteria that guarantee the existence of unique solutions. Additionally, we employ the successive midpoint method to numerically solve chaotic systems governed by both fractal and global derivatives. To evaluate the effectiveness of the proposed approach, graphical simulations are presented for various derivative orders. These results illustrate the method’s accuracy, stability, and reliability in capturing the intricate dynamics of the considered systems.
Publisher
Vilnius Gediminas Technical University
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