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Euler-Maruyama

Denoting r = A /2, the update scheme (7.38) becomes the Euler-Maruyama scheme... [Pg.307]

The benefit of (7.40) over the Euler-Maruyama scheme is that we can get second order accuracy in averages with only a single evaluation of the force at each timestep. However, our analysis presented here is only for the infinite time case. For averages computed in finite time, work in [224] has shown that (7.40) does indeed give a first order error, albeit one that vanishes exponentially fast in time as the simulation progresses. Hence for suitably long simulations, the observed error will be 0(h ). [Pg.308]

Write out the limiting schemes for the OAB] and OBA] methods and verify that they are inconsistent with the dynamics by comparing them to the Euler-Maruyama scheme. [Pg.327]

Now we need to solve the stochastic differential equation given in eq. (3b) using stochastic version of Euler-Maruyama s method using the iterative method as follows [Card, 1998] ... [Pg.222]


See other pages where Euler-Maruyama is mentioned: [Pg.264]    [Pg.328]    [Pg.328]    [Pg.264]    [Pg.328]    [Pg.328]   
See also in sourсe #XX -- [ Pg.264 , Pg.328 ]




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