Multi‐budgeted matching problems

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The multi‐budgeted matching problem (mBM) is a weighted matching problem with k independent edge cost functions. For each cost function, a budget constraint requires the accumulated cost not to exceed a corresponding budget. We show that the mBM is strongly NP‐hard on paths with uniform edge weights and budgets by a reduction from 3‐SAT. Subsequently, we propose a dynamic program for series‐parallel graphs with pseudo‐polynomial run time for a fixed number of budget constraints. As an extension we show how this algorithm can be used to solve the mBM on trees using a graph transformation. Realizing that both these graph classes have a bounded treewidth in common, we introduce a dynamic program based on tree decompositions. This approach leads to a pseudo‐polynomial algorithm for the mBM with fixed k on graphs of bounded treewidth.

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