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Is there any way to extract k-first eigenvalues (eigenvectors) rather than extracting the whole spectrum? This is the functionality eigsh provides in scipy. Currently skcuda.linalg.eig calculates all eigenvalues but this is a much harder problem then getting the first k, especially for high dimensional problems.
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Ah, unfortunately don`t see cheevx being implemented in what looks like the only python wrapper pymagma @lebedov , any chance this would be added into skcuda future releases ?
Is there any way to extract k-first eigenvalues (eigenvectors) rather than extracting the whole spectrum? This is the functionality eigsh provides in scipy. Currently skcuda.linalg.eig calculates all eigenvalues but this is a much harder problem then getting the first k, especially for high dimensional problems.
The text was updated successfully, but these errors were encountered: