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AI Summary & Key Takeaways
AI Insight⚡ TL;DR(Too Long; Didn't Read)
This work investigates the variation of the Lyapunov exponent of a family of functions depending on two parameters defined on the closed interval [0,1] with respect to its parameters.
📌 3 Key Takeaways
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Objective & Hypothesis:This work investigates the variation of the Lyapunov exponent of a family of functions depending on two parameters defined on the closed interval [0,1] with respect to its parameters.
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Key Findings & Data:This work investigates the variation of the Lyapunov exponent of a family of functions depending on two parameters defined on the closed interval [0,1] with respect to its parameters.
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Conclusion & Impact:This work investigates the variation of the Lyapunov exponent of a family of functions depending on two parameters defined on the closed interval [0,1] with respect to its parameters.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters
Abstract
This work investigates the variation of the Lyapunov exponent of a family of functions depending on two parameters defined on the closed interval [0,1] with respect to its parameters.
Özet
Bu çalışmada [0,1] kapalı aralığı üzerinde tanımlı iki parametreli bir fonksiyon ailesinin parametrelere göre Lyapunov eksponentinin değişimi incelenmiştir.
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Cite This Article
DEMİR, B., DEĞİRMENCİ, N. (2022). The Lyapunov exponent of a family of piecewise lineer functions defined on the closed interval [0,1]. Anadolu Üniversitesi Fen Fakültesi Dergisi, Cilt: 0 - Sayı: 7, 177–185. https://ajindex.com/articles/438628