rgf_dist#
Includes the distributed selected inversion solver.
Classes:
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RGFDist–Distributed selected inversion solver.
RGFDist
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RGFDist(max_batch_size: int = 100)
Bases: GFSolver
Distributed selected inversion solver.
Parameters:
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max_batch_size(int, default:100) –Maximum batch size to use when inverting the matrix, by default 100.
Methods:
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selected_inv–Performs selected inversion of a block-tridiagonal matrix.
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selected_solve–Performs selected inversion of a block-tridiagonal matrix.
selected_inv
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selected_inv(a: DSDBSparse, out: DSDBSparse, obc_blocks: OBCBlocks | None = None) -> None
Performs selected inversion of a block-tridiagonal matrix.
Parameters:
-
a(DSDBSparse) –Matrix to invert.
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out(DSDBSparse) –Preallocated output matrix.
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obc_blocks(OBCBlocks, default:None) –OBC blocks for lesser, greater and retarded Green's functions. By default None.
selected_solve
#
selected_solve(a: DSDBSparse | _DStackView, sigma_lesser: DSDBSparse | _DStackView, sigma_greater: DSDBSparse | _DStackView, out: tuple[DSDBSparse, ...] | tuple[_DStackView, ...], obc_blocks: OBCBlocks | None = None, return_retarded: bool = False, return_current: bool = False) -> None | NDArray
Performs selected inversion of a block-tridiagonal matrix.
Can optionally solve the quadratic system associated with the lesser and greater right-hand-sides.
Parameters:
-
a(DSDBSparse) –Matrix to invert.
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sigma_lesser(DSDBSparse) –Lesser matrix. This matrix is expected to be skew-hermitian, i.e. \(\Sigma_{ij} = -\Sigma_{ji}^*\).
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sigma_greater(DSDBSparse) –Greater matrix. This matrix is expected to be skew-hermitian, i.e. \(\Sigma_{ij} = -\Sigma_{ji}^*\).
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out(tuple[DSDBSparse, ...]) –Preallocated output matrices
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obc_blocks(dict[int, OBCBlocks], default:None) –OBC blocks for lesser, greater and retarded Green's functions, by default None.
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return_retarded(bool, default:False) –Wether the retarded Green's function should be returned along with lesser and greater, by default False
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return_current(bool, default:False) –Whether to compute and return the current for each layer via the Meir-Wingreen formula. By default False. Note that this is currently only partially supported, and only the boundary currents are computed correctly.
Returns:
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None | NDArray–If
return_currentis True, returns the current for each layer.