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Monte Carlo based stochastic approach for the first order nonlinear ODE systems

Cilt: 26 Sayı: 1 20 Şubat 2020
  • Hande Uslu
  • Murat Sarı
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Monte Carlo based stochastic approach for the first order nonlinear ODE systems

Öz

After the discovery of the effectiveness of the stochastic methods for solving real life problems, these methods have been applied to a wide range of problems in two types; deterministic problems and stochastic problems. The general opinion takes part in applying these methods to stochastic problems since it is preferable for realistic results. Moreover, those methods can also be used in dealing with deterministic models. This study aims to show how stochastic approaches can be applied to deterministic models. Thus, an algorithm based on the Monte Carlo simulation has been presented for solving some systems of nonlinear differential equations. To discuss the behavior of such models, the population equations have been taken into consideration. The considered approach has been seen to produce more accurate results than numerical techniques. A detailed discussion about the results has also been given in this work.

Anahtar Kelimeler

Kaynakça

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  2. Göncü A. Monte Carlo and Quasi-Monte Carlo Methods in Financial Derivative Pricing. PhD Thesis, Florida State University, Florida, USA, 2009.
  3. Sobol IM. A Primer for the Monte Carlo Method. 1st ed. Boca Raton, CRC Press, 1994.
  4. Taylor HM, Karlin S. An Introduction to Stochastic Modeling. 3rd ed. London, UK, Wiley, 1998.
  5. Resnick S. Adventures in Stochastic Processes. 4th ed. New York, USA, Birkhauser Basel, 1992.
  6. Kroese DP, Taimre T, Botev ZI. Handbook of Monte Carlo Methods. 1st ed. New Jersey, USA, Wiley, 2011.
  7. Paul S, Mondal SP, Bhattacharya P. “Numerical solution of lotka volterra prey predator model by using runge–kutta–fehlberg method and laplace adomian decomposition method”. Alexandria Engineering Journal, 55, 613-617, 2015.
  8. Akhtar MN, Durad MH, Ahmed A. “Solving ınitial value ordinary differential equations by Monte Carlo method”. Proceedings of IAM, 4(2), 149-174, 2015.

Ayrıntılar

Birincil Dil

İngilizce

Konular

Mühendislik

Bölüm

Araştırma Makalesi

Yazarlar

Hande Uslu Bu kişi benim
Türkiye

Murat Sarı Bu kişi benim
Türkiye

Yayımlanma Tarihi

20 Şubat 2020

Gönderilme Tarihi

19 Ekim 2018

Kabul Tarihi

-

Yayımlandığı Sayı

Yıl 2020 Cilt: 26 Sayı: 1

Kaynak Göster

APA
Uslu, H., & Sarı, M. (2020). Monte Carlo based stochastic approach for the first order nonlinear ODE systems. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, 26(1), 133-139. https://izlik.org/JA94DF68JE
AMA
1.Uslu H, Sarı M. Monte Carlo based stochastic approach for the first order nonlinear ODE systems. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi. 2020;26(1):133-139. https://izlik.org/JA94DF68JE
Chicago
Uslu, Hande, ve Murat Sarı. 2020. “Monte Carlo based stochastic approach for the first order nonlinear ODE systems”. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi 26 (1): 133-39. https://izlik.org/JA94DF68JE.
EndNote
Uslu H, Sarı M (01 Şubat 2020) Monte Carlo based stochastic approach for the first order nonlinear ODE systems. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi 26 1 133–139.
IEEE
[1]H. Uslu ve M. Sarı, “Monte Carlo based stochastic approach for the first order nonlinear ODE systems”, Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, c. 26, sy 1, ss. 133–139, Şub. 2020, [çevrimiçi]. Erişim adresi: https://izlik.org/JA94DF68JE
ISNAD
Uslu, Hande - Sarı, Murat. “Monte Carlo based stochastic approach for the first order nonlinear ODE systems”. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi 26/1 (01 Şubat 2020): 133-139. https://izlik.org/JA94DF68JE.
JAMA
1.Uslu H, Sarı M. Monte Carlo based stochastic approach for the first order nonlinear ODE systems. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi. 2020;26:133–139.
MLA
Uslu, Hande, ve Murat Sarı. “Monte Carlo based stochastic approach for the first order nonlinear ODE systems”. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, c. 26, sy 1, Şubat 2020, ss. 133-9, https://izlik.org/JA94DF68JE.
Vancouver
1.Hande Uslu, Murat Sarı. Monte Carlo based stochastic approach for the first order nonlinear ODE systems. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi [Internet]. 01 Şubat 2020;26(1):133-9. Erişim adresi: https://izlik.org/JA94DF68JE