Physics – Computational Physics
Scientific paper
2003-04-23
Physics
Computational Physics
9 pages, 3 figures, submitted for publication
Scientific paper
10.1103/PhysRevLett.91.150201
We present a computational strategy for reducing the sign problem in the evaluation of high dimensional integrals with non-positive definite weights. The method involves stochastic sampling with a positive semidefinite weight that is adaptively and optimally determined during the course of a simulation. The optimal criterion, which follows from a variational principle for analytic actions S(z), is a global stationary phase condition that the average gradient of the phase Im(S) along the sampling path vanishes. Numerical results are presented from simulations of a model adapted from statistical field theories of classical fluids.
Baeurle S. A.
Fredrickson Glenn H.
Moreira Adriana G.
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