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The Euler schemes for numerical modeling of stochastic differential equations

This work presents a review of the progress in the development of the numerical methods for sample paths simulation of stochastic differential equations. The error of approximation, the order of the convergence, the stability improvement for Euler methods (explicit, implicit and composite schemes) are studied theoretically as well as numerically. MathLab programs support all the illustrations.