sde_test
sde_test,
an Octave code which
calls sde(), which
illustrates the properties of stochastic differential equations (SDE) and some
algorithms for handling them.
Licensing:
The computer code and data files made available on this web page
are distributed under
the MIT license
Related Data and Programs:
sde,
an Octave code which
illustrates properties of
stochastic ordinary differential equations (SODE's), and
common algorithms for their analysis, including the Euler method,
the Euler-Maruyama method, and the Milstein method,
by Desmond Higham;
Source Code:
A number of graphics images are created by the example programs:
-
bpath.png,
an image of the computed path for BPATH.
-
bpath_vectorized.png,
an image of the computed path for BPATH_VECTORIZED.
-
bpath_average.png,
an image of the averaged paths for BPATH_AVERAGE.
-
chain.png,
an image comparing solutions done with and without the chain rule.
-
em.png,
an image of a true solution versus the Euler-Maruyama estimate.
-
emstrong.png,
an image of the strong convergence of the Euler-Maruyama error with stepsize.
-
emweak0.png,
an image of the weak convergence of the standard Euler-Maruyama method.
-
emweak1.png,
an image of the weak convergence of the weak Euler-Maruyama method.
-
milstrong.png,
an image of the strong convergence of the Milstein method.
-
stab_asymptotic.png,
an image of an asymptotic stability check.
-
stab_meansquare.png,
an image of a meansquare stability check.
Last revised on 18 June 2023.