Breaking down a process into non-redundant operations. In structured programming, it provides a hierarchical breakdown of the program into the individual operations, or routines, that are required.

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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