Content-based image retrieval based on colour histogram and the discrete cosine transform

We study the static screening in a Hubbard-like model using fixed-node diffusion Monte Carlo. We find that the random phase approximation is surprisingly accurate even for metallic systems close to the Mott transition. As a specific application we discuss the implications of the efficient screening for the superconductivity in the doped Fullerenes. In the Monte Carlo calculations we use trial functions with two Gutzwiller-type parameters. To deal with such trial functions, we introduce a method for efficiently optimizing the Gutzwiller parameters, both in variational and in fixed-node diffusion Monte Carlo.Comment: 4 pages LaTeX with 4 eps figures; Computer Simulations Studies in Condensed Matter Physics XII, Eds.: D.P. Landau, S.P. Lewis, and H.B. Schuettler, Springer 1999; additional material available at http://www.mpi-stuttgart.mpg.de/docs/ANDERSEN/fullerene