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3. Separate performances
When any function f (x
1
, x
2
) assumed to depend on two generic coordinates x
1
and x
2
is known, one way of constructing its separate representation is to build the matrix f
j,k
(x
1,j
, x
2,k
), j = 1,..., J and k = 1,....K, to apply the SVD (singular value decomposition) and, as explained above for the POD, retain only the modes associated with the most significant eigenvalues
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