function  [r, dr] = corrgauss(theta, d)%CORRGAUSS  Gaussian correlation function,%%           n%   r_i = prod exp(-theta_j * d_ij^2) ,  i = 1,...,m%          j=1%% If length(theta) = 1, then the model is isotropic:% all  theta_j = theta .%% Call:    r = corrgauss(theta, d)%          [r, dr] = corrgauss(theta, d)%% theta :  parameters in the correlation function% d     :  m*n matrix with differences between given data points% r     :  correlation% dr    :  m*n matrix with the Jacobian of r at x. It is%          assumed that x is given implicitly by d(i,:) = x - S(i,:), %          where S(i,:) is the i'th design site. % hbn@imm.dtu.dk  % Last update June 2, 2002[m n] = size(d);  % number of differences and dimension of dataif  length(theta) == 1  theta = repmat(theta,1,n);elseif  length(theta) ~= n  error(sprintf('Length of theta must be 1 or %d',n))endtd = d.^2 .* repmat(-theta(:).',m,1);r = exp(sum(td, 2));if  nargout > 1  dr = repmat(-2*theta(:).',m,1) .* d .* repmat(r,1,n);end