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epomarico/Convergence_numerical_methods_SDE
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This folder contains files for studying the convergence of various numerical methods in finding the numerical solution of linear and nonlinear stochastic differential equations (SDE). Files included in the folder: - StrongConv_eQL.m: tests the STRONG convergence of the Euler-Maruyama (EM) algorithm, the Milstein (M) one, as well as its derivative-free (M2), for the numerical solution of a linear SDE - StrongConv_eQNL.m: tests the STRONG convergence of the Euler-Maruyama (EM) algorithm, the Milstein (M) one, as well as its derivative-free (M2), for the numerical solution of a nonlinear SDE - WeakConv_eQL.m: tests the WEAK convergence of the Euler-Maruyama (EM) algorithm, the Milstein (M) one, as well as its derivative-free (M2), for the numerical solution of a linear SDE - WeakConv_eQNL.m: tests the WEAK convergence of the Euler-Maruyama (EM) algorithm, the Milstein (M) one, as well as its derivative-free (M2), for the numerical solution of a nonlinear SDE - WeakConvH_eQL.m: tests the WEAK convergence of the Heun (H) algorithm, for the numerical solution of a linear SDE
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