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Cites:

Information Journal Paper

Title

ON THE EULER-MARUYAMA AND MILSTEIN METHODS FOR APPROXIMATION OF STOCHASTIC DIFFERENTIAL EQUATIONS

Pages

  23-31

Abstract

 We will introduce the Euler-Maruyama and Milstein Methods. By using pseudo-random number and implementing the ITO INTEGRAL we will present an efficient algorithm for the pathwise numerical approximation of solutions to stochastic differential equations.In the last section we will show the efficiency of the algorithm by presenting the numerical results for some test problems.

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  • Cite

    APA: Copy

    BARID LOGHMANI, G, & MOHSENI, M. (2004). ON THE EULER-MARUYAMA AND MILSTEIN METHODS FOR APPROXIMATION OF STOCHASTIC DIFFERENTIAL EQUATIONS. JOURNAL OF SCIENCE (UNIVERSITY OF TEHRAN) (JSUT), 30(1), 23-31. SID. https://sid.ir/paper/2142/en

    Vancouver: Copy

    BARID LOGHMANI G, MOHSENI M. ON THE EULER-MARUYAMA AND MILSTEIN METHODS FOR APPROXIMATION OF STOCHASTIC DIFFERENTIAL EQUATIONS. JOURNAL OF SCIENCE (UNIVERSITY OF TEHRAN) (JSUT)[Internet]. 2004;30(1):23-31. Available from: https://sid.ir/paper/2142/en

    IEEE: Copy

    G BARID LOGHMANI, and M MOHSENI, “ON THE EULER-MARUYAMA AND MILSTEIN METHODS FOR APPROXIMATION OF STOCHASTIC DIFFERENTIAL EQUATIONS,” JOURNAL OF SCIENCE (UNIVERSITY OF TEHRAN) (JSUT), vol. 30, no. 1, pp. 23–31, 2004, [Online]. Available: https://sid.ir/paper/2142/en

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