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# scipy.linalg.interpolative.id_to_svd

`scipy.linalg.interpolative.``id_to_svd`(B, idx, proj)

  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.ndarray` Skeleton matrix. idx : `numpy.ndarray` Column index array. proj : `numpy.ndarray` Interpolation coefficients.
  Returns: | U : `numpy.ndarray` Left singular vectors. S : `numpy.ndarray` Singular values. V : `numpy.ndarray` Right singular vectors.