scipy.linalg.interpolative.id_to_svd¶
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scipy.linalg.interpolative.id_to_svd(B, idx, proj)[source]¶ Convert ID to SVD.
The SVD reconstruction of a matrix with skeleton matrix B and ID indices and coefficients idx and proj, respectively, is:
U, S, V = id_to_svd(B, idx, proj) A = numpy.dot(U, numpy.dot(numpy.diag(S), V.conj().T))
See also
svd.Parameters: B :
numpy.ndarraySkeleton matrix.
idx :
numpy.ndarrayColumn index array.
proj :
numpy.ndarrayInterpolation coefficients.
Returns: U :
numpy.ndarrayLeft singular vectors.
S :
numpy.ndarraySingular values.
V :
numpy.ndarrayRight singular vectors.