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Commented out cholupdate since it uses weave and appears not to be used
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1 changed files with 29 additions and 28 deletions
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@ -489,34 +489,35 @@ def symmetrify_numpy(A, upper=False):
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else:
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A[triu] = A.T[triu]
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def cholupdate(L, x):
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"""
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update the LOWER cholesky factor of a pd matrix IN PLACE
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if L is the lower chol. of K, then this function computes L\_
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where L\_ is the lower chol of K + x*x^T
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"""
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support_code = """
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#include <math.h>
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"""
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code = """
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double r,c,s;
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int j,i;
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for(j=0; j<N; j++){
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r = sqrt(L(j,j)*L(j,j) + x(j)*x(j));
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c = r / L(j,j);
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s = x(j) / L(j,j);
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L(j,j) = r;
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for (i=j+1; i<N; i++){
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L(i,j) = (L(i,j) + s*x(i))/c;
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x(i) = c*x(i) - s*L(i,j);
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}
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}
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"""
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x = x.copy()
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N = x.size
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weave.inline(code, support_code=support_code, arg_names=['N', 'L', 'x'], type_converters=weave.converters.blitz)
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#This function appears to be unused. It's use of weave makes it problematic
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#Commenting out for now
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#def cholupdate(L, x):
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# """
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# update the LOWER cholesky factor of a pd matrix IN PLACE
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#
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# if L is the lower chol. of K, then this function computes L\_
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# where L\_ is the lower chol of K + x*x^T
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# """
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# support_code = """
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# #include <math.h>
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# """
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# code = """
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# double r,c,s;
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# int j,i;
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# for(j=0; j<N; j++){
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# r = sqrt(L(j,j)*L(j,j) + x(j)*x(j));
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# c = r / L(j,j);
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# s = x(j) / L(j,j);
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# L(j,j) = r;
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# for (i=j+1; i<N; i++){
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# L(i,j) = (L(i,j) + s*x(i))/c;
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# x(i) = c*x(i) - s*L(i,j);
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# }
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# }
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# """
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# x = x.copy()
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# N = x.size
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# weave.inline(code, support_code=support_code, arg_names=['N', 'L', 'x'], type_converters=weave.converters.blitz)
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def backsub_both_sides(L, X, transpose='left'):
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""" Return L^-T * X * L^-1, assumuing X is symmetrical and L is lower cholesky"""
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