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Toplam kayıt 6, listelenen: 1-6
APPLICATION OF CRANK-NICOLSON METHOD TO A RANDOM COMPONENT HEAT EQUATION
(Yildiz Technical Univ, 2020)
In this study, the solution of a random component heat equation is obtained by using Crank-Nicolson Method. The initial condition of this equation is examined by Normal distribution. The expected value and variance of ...
ANALYSIS OF RANDOM DISCRETE TIME LOGISTIC MODEL
(Yildiz Technical Univ, 2020)
In this study, the behavior of the logistic difference model is investigated under random conditions using discrete probability distributions. The logistic difference model consists of parameters that depend on the population ...
A simplified neutrosophic multiplicative set-based TODIM using water-filling algorithm for the determination of weights
(Wiley, 2020)
Due to the technological developments around the world, the amount of information that researchers work on increases continuously. This information density contains incomplete and uncertain data that cannot be fully expressed ...
Modification of the random differential transformation method and its applications to compartmental models
(Taylor & Francis Inc, 2021)
In this study, a modification of the random differential transformation method is given by using Laplace-Pade method. The modification, which has previously been introduced for the deterministic differential transformation ...
On the solutions of fractional random ordinary differential equations with the Residual power series method
(Elsevier B.V., 2023)
In this study, random ordinary differential equations obtained by randomly choosing the coefficients or initial conditions of the ordinary differential equations will be analyzed by the Residual Power Series Method. The ...
Wong-Zakai approximation for stochastic models of smoking
(YILDIZ TECHNICAL UNIV, 2023)
In this study, Wong-Zakai approximation method has been used to obtain approximate solutions for two compartmental models of smoking dynamics. Stratonovich stochastic differential equation systems are obtained for these ...