Empirical Comparison of Root-Finding Algorithms between Classical Methods and Hybrid Method
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Abstract
This research presents a novel method derived from combination of traditional techniques, namely the Bisection method, False position method and Edmond-Halley’s method, to enhance the efficiency of root finding algorithms. The research also compares the performance of this traditional methods with the new hybrid method by coding in Python. The results show that the new method demonstrates superior efficiency than the classical methods. Furthermore, a classe’s structure based on the strategy design pattern was developed for code implementation, facilitating systematic coding and improving maintainability and scalability of the algorithms.
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