Research Article

Randomness Analysis With Runge Kutta Methods

Volume: IDAP-2021 : 5th International Artificial Intelligence and Data Processing symposium Number: Special October 20, 2021
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Randomness Analysis With Runge Kutta Methods

Abstract

Chaotic systems are widely used in encryption because of their sensitivity to initial conditions and parameters, high ergodicity, mixing properties, and highly complex structures. Various analyzes are available to understand whether a system is chaotic. The most used analyzes are time series analysis, phase portraits, Lyapunov exponents, and bifurcation diagrams. Modeling of chaotic systems is also possible with numerical analysis methods. These methods are; Houses, Heun, 4th and 5th degree Runge Kutta methods are the most common differential solution methods.

Keywords

Supporting Institution

İnönü Üniversitesi

Project Number

(BAPB) FBG-2020-2143

Thanks

Bu çalışma, İnönü Üniversitesi Bilimsel Araştırma Projeleri Bölümü'nün (BAPB) FBG-2020-2143 sayılı projesi ile desteklenmiştir. Yazar, değerli destekleri için İnönü Üniversitesi BAPB’ye teşekkür eder.

References

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Details

Primary Language

English

Subjects

Software Testing, Verification and Validation

Journal Section

Research Article

Publication Date

October 20, 2021

Submission Date

September 3, 2021

Acceptance Date

September 16, 2021

Published in Issue

Year 2021 Volume: IDAP-2021 : 5th International Artificial Intelligence and Data Processing symposium Number: Special

APA
İnce, C., İnce, K., & Hanbay, D. (2021). Randomness Analysis With Runge Kutta Methods. Computer Science, IDAP-2021 : 5th International Artificial Intelligence and Data Processing symposium(Special), 53-60. https://doi.org/10.53070/bbd.990990
AMA
1.İnce C, İnce K, Hanbay D. Randomness Analysis With Runge Kutta Methods. JCS. 2021;IDAP-2021 : 5th International Artificial Intelligence and Data Processing symposium(Special):53-60. doi:10.53070/bbd.990990
Chicago
İnce, Cemile, Kenan İnce, and Davut Hanbay. 2021. “Randomness Analysis With Runge Kutta Methods”. Computer Science IDAP-2021 : 5th International Artificial Intelligence and Data Processing symposium (Special): 53-60. https://doi.org/10.53070/bbd.990990.
EndNote
İnce C, İnce K, Hanbay D (October 1, 2021) Randomness Analysis With Runge Kutta Methods. Computer Science IDAP-2021 : 5th International Artificial Intelligence and Data Processing symposium Special 53–60.
IEEE
[1]C. İnce, K. İnce, and D. Hanbay, “Randomness Analysis With Runge Kutta Methods”, JCS, vol. IDAP-2021 : 5th International Artificial Intelligence and Data Processing symposium, no. Special, pp. 53–60, Oct. 2021, doi: 10.53070/bbd.990990.
ISNAD
İnce, Cemile - İnce, Kenan - Hanbay, Davut. “Randomness Analysis With Runge Kutta Methods”. Computer Science IDAP-2021 : 5TH INTERNATIONAL ARTIFICIAL INTELLIGENCE AND DATA PROCESSING SYMPOSIUM/Special (October 1, 2021): 53-60. https://doi.org/10.53070/bbd.990990.
JAMA
1.İnce C, İnce K, Hanbay D. Randomness Analysis With Runge Kutta Methods. JCS. 2021;IDAP-2021 : 5th International Artificial Intelligence and Data Processing symposium:53–60.
MLA
İnce, Cemile, et al. “Randomness Analysis With Runge Kutta Methods”. Computer Science, vol. IDAP-2021 : 5th International Artificial Intelligence and Data Processing symposium, no. Special, Oct. 2021, pp. 53-60, doi:10.53070/bbd.990990.
Vancouver
1.Cemile İnce, Kenan İnce, Davut Hanbay. Randomness Analysis With Runge Kutta Methods. JCS. 2021 Oct. 1;IDAP-2021 : 5th International Artificial Intelligence and Data Processing symposium(Special):53-60. doi:10.53070/bbd.990990

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