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Replace Python sort operations by Numpy sort operations (significantly
smaller memory usage and higher speed). Make some operations
block-wise, to avoid large temporary arrays. Delete local variables when
possible, to avoid keeping unused large arrays around.
Example:
Benchmark results:
There's a minor slowdown for very small matrices --- but using onenormest for those doesn't make much sense anyway.