📄 covm.m
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function ret = covM ( xa , xb , r , jitter )# make covariance matrix, not necessarily square, for gaussian process # -- this does the Multidimensinoal version. if (nargin != 4) usage ("cov (xa,xb,r,jitter) - xa,xb is matrix, r is vector (one for each dimesnions)"); endifglobal A ; m = size(r) ; M = m(2); s = size(xa); S=s(2); s = size(xb); Sb=s(2); E = zeros(S,Sb) ; for m=1:M ; xi = ones(size(xb(m,:)))' * xa(m,:) ; xj = xi' ; xi = ones(size(xa(m,:)))' * xb(m,:) ; dij = xi .- xj ; D = dij .^ 2 ; E = E - D / (2*r(1,m)^2) ; endfor if ( jitter && (size(xb)==size(xa)) ) ret = A * exp ( E ) + jitter * eye ( S ) ; else ret = A * exp ( E ) ; endifendfunction
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