Gravitational wave detectors must be extremely sensitive, and identifying noise sources can be difficult and time-consuming.
We propose a new decomposition method for large-scale linear programming. This method dualizes an (arbitrary) subset of the constraints and then maximizes the resulting dual functional by dual ascent.
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