compression_level(n, q, n_oversamples=10, min_subspace_size=20)

Given the size n of a space, compress that that to one of size q plus n_oversamples.

The oversampling allows for greater flexibility in finding an appropriate subspace, a low value is often enough (10 is already a very conservative choice, it can be further reduced). q + oversampling should not be larger than n . In this specific implementation, q + n_oversamples is at least min_subspace_size .

Parameters

n: int :

Column/row dimension of original matrix

q: int :

Size of the desired subspace (the actual size will be bigger, because of oversampling, see da.linalg.compression_level )

n_oversamples: int, default=10 :

Number of oversamples used for generating the sampling matrix.

min_subspace_size : int, default=20

Minimum subspace size.

Compression level to use in svd_compressed

Examples

This example is valid syntax, but we were not able to check execution

>>> compression_level(100, 10)
20

See :

Back References

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dask.array.linalg.compression_level

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