Küçük Gürültü Terimi İçeren Itô Stokastik Diferansiyel Denklemler için Stokastik Runge-Kutta-Fehlberg Yöntemi

Bu çalışmada, difüzyon teriminde küçük bir çarpan olan Itô stokastik diferansiyel denklemler (SDD) için stokastik Runge-Kutta-Fehlberg yöntemi (SRKFY) önerilmiştir. Bu yöntem, deterministik diferansiyel denklemler için iyi bilinen ve türevleri kullanmayan altı aşamalı RKFY’nin karışık stokastik (klasik-stokastik) integralleri kullanan bir uyarlamasıdır. Önerilen yöntemin ara adımlarında Euler-Maruyama tahminleyicisi kullanılmıştır. Bazı test problemleri için, yöntemin kuadratik orta anlamda yakınsaklığını incelemek ve bilinen bazı yöntemlerle karşılaştırmak amacıyla simülasyon çalışmaları yapılmıştır.

A Stochastic Runge-Kutta-Fehlberg Method for Itô Stochastic Differential Equations with Small Noise

In this study, a stochastic Runge-Kutta-Fehlberg (SRKF) method is proposed for the Itô stochastic differential equations (SDE) with a small factor in the diffusion coefficient. This method, which uses mixed stochastic (classical-stochastic) integrals, is an extension of derivative-free six-stage RKF method which is well known for deterministic DE. In intermediate steps of the proposed method, the Euler-Maruyama predictor is used. For some test problems, simulation studies are conducted to examine strong convergence of the method and compare it with some known methods

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Erzincan Üniversitesi Fen Bilimleri Enstitüsü Dergisi-Cover
  • ISSN: 1307-9085
  • Yayın Aralığı: Yılda 3 Sayı
  • Başlangıç: 2008
  • Yayıncı: Erzincan Binali Yıldırım Üniversitesi, Fen Bilimleri Enstitüsü