pytc.legacy.df¶

This module implements the density-fitting for transcorrelated integrals.

Functions

`calculate_norm`	Calculate the norm of the input tensor along trailing dimensions. :param rho: Input tensor (N_b, N_grid, *trailing_dims) or (N_b, N_grid).
`isdf_decompose_cholesky`	ISDF decomposition using pivoted Cholesky, generalized for tensors. :param rho: Input tensor (N_b, N_grid, *trailing_dims) or (N_b, N_grid) :param n_rank: Number of interpolation points.
`isdf_decompose_multi`	ISDF decomposition for two densities with pivot fusion.
`pivoted_cholesky`	Pivoted Cholesky decomposition with fixed rank.
`reconstruct_rho`	Reconstruct tensor from decomposition.
`solve_least_squares`	Solve least squares problem for interpolation coefficients. :param C: Selected columns (N_bN_b, n_rank, trailing_dims) :param rho: Original tensor (N_bN_b, N_grid, trailing_dims).
`test_accuracy`	Calculate reconstruction relative and absolute errors.
`test_multi_accuracy`	Test reconstruction accuracy for two densities using fused pivots.