On the effective dimension and multilevel Monte Carlo

11/05/2021
by   Nabil Kahale, et al.
0

I consider the problem of integrating a function f over the d-dimensional unit cube. I describe a multilevel Monte Carlo method that estimates the integral with variance at most ϵ^2 in O(d+ln(d)d_tϵ^-2) time, for ϵ>0, where d_t is the truncation dimension of f. In contrast, the standard Monte Carlo method typically achieves such variance in O(dϵ^-2) time. A lower bound of order d+d_tϵ^-2 is described for a class of multilevel Monte Carlo methods.

READ FULL TEXT

Please sign up or login with your details

Forgot password? Click here to reset
Success!
Error Icon An error occurred

Sign in with Google

×

Use your Google Account to sign in to DeepAI

×

Consider DeepAI Pro