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This work deals with the dummy fill and negative fill insertion problem with constraints on the minimum and maximum pattern density within a moving rectangular window. It is shown that the general class of such problems is at least NP-hard. A greedy randomized algorithm for this problem is proposed, and its proof of convergence and some experimental results are presented. More detailed account of our implementation and results are available in [7].

A Randomized Greedy Algorithm for the Pattern Fill Problem for DFM Applications