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Numerical Approximation Methods using Multiplicative Calculus

Authors: Aktöre, Hatice;

Numerical Approximation Methods using Multiplicative Calculus

Abstract

In this thesis, the 2nd, 3rd and 4th order multiplicative Runge-Kutta Methods are developed in analogy to the classical Runge-Kutta Method. The error analysis is only carried out for the 4th order multiplicative Runge-Kutta method based on the convergence and stability analysis. The convergence behaviour of the developed multiplicative Runge-Kutta method is analysed by examining examples of initial value problems with closed form solutions, as well as problems without closed form solutions. The obtained results are also compared to the results obtained from the solutions of the classical Runge-Kutta method for the same examples. The error analysis shows that the solutions of the multiplicative Runge-Kutta methods give better results especially when the solution has an exponential nature. The modified quadratic Lorenz attractor is developed to examine the applicability of the proposed multiplicative Runge-Kutta method on the chaotic systems. The chaotic system is analysed numerically for its chaotic behaviour. Finally, the chaotic system is transformed into the corresponding system in terms of multiplicative calculus and the analysis are also done based on the rules of the multiplicative calculus. The results of the analysis show that the multiplicative Runge-Kutta method is also applicable to multiplicative chaotic systems. Keywords: Multiplicative calculus, complex multiplicative calculus, Runge-Kutta, differential equations, numerical approximation, dynamical systems.

Keywords

differential equations, Runge-Kutta, dynamical systems, Applied Mathematics and Computer Science, complex multiplicative calculus, Mathematics, Multiplicative calculus, numerical approximation

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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!
0
Average
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