function smallpot = marginalize_pot(bigpot, keep, maximize, useC)% MARGINALIZE_POT Marginalize a mpot onto a smaller domain.% smallpot = marginalize_pot(bigpot, keep, maximize, useC)%% The maximize argument is ignored - maxing out a Gaussian is the same as summing it out,% since the mode and mean are equal.% The useC argument is ignored.node_sizes = sparse(1, max(bigpot.domain));node_sizes(bigpot.domain) = bigpot.sizes;sum_over = mysetdiff(bigpot.domain, keep);[logp, mu, Sigma] = marginalize_gaussian(bigpot.logp, bigpot.mu, bigpot.Sigma, ...					 keep, sum_over, node_sizes);smallpot = mpot(keep, node_sizes(keep), logp, mu, Sigma);%%%%%%function [logpX, muX, SXX] = marginalize_gaussian(logp, mu, Sigma, X, Y, ns)% MARGINALIZE_GAUSSIAN Compute Pr(X) from Pr(X,Y) where X and Y are jointly Gaussian.% [logpX, muX, SXX] = marginalize_gaussian(logp, mu, Sigma, X, Y, ns)%% sizes(i) is the size of the i'th block in domain. [muX, muY, SXX, SXY, SYX, SYY] = partition_matrix_vec(mu, Sigma, X, Y, ns);logpX = logp; % Lauritzen (1996) p161