Euler-Maruyama method for solving first order uncertain stochastic differential equations
نویسندگان
چکیده
Two forms of uncertainty are identified to be associated with dynamical systems, which randomness and belief degree. The uncertain stochastic differential equation (USDE) is used describe systems driven simultaneously by human (belief degree). In this paper, the Euler-Maruyama method for solving USDEs examined. solve a stock pricing problem results compared those Runge Kutta order 4. yields lower prices, while prices from proved converge faster analytical method. At α = 0.5 where ∈ (0, 1), USDE reverts equation, component eliminated, showing that indeed hybrid equation. Key words: Euler-Maruyama, price, contour process.
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ژورنال
عنوان ژورنال: African Journal of Mathematics and Computer science Research
سال: 2023
ISSN: ['2006-9731']
DOI: https://doi.org/10.5897/ajmcsr2022.0923