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| Content Provider | Springer Nature Link |
|---|---|
| Author | Bonifaci, Vincenzo Schäfer, Guido Berger, André Grandoni, Fabrizio |
| Copyright Year | 2009 |
| Abstract | Many polynomial-time solvable combinatorial optimization problems become NP-hard if an additional complicating constraint is added to restrict the set of feasible solutions. In this paper, we consider two such problems, namely maximum-weight matching and maximum-weight matroid intersection with one additional budget constraint. We present the first polynomial-time approximation schemes for these problems. Similarly to other approaches for related problems, our schemes compute two solutions to the Lagrangian relaxation of the problem and patch them together to obtain a near-optimal solution. However, due to the richer combinatorial structure of the problems considered here, standard patching techniques do not apply. To circumvent this problem, we crucially exploit the adjacency relations on the solution polytope and, surprisingly, the solution to an old combinatorial puzzle. |
| Ending Page | 372 |
| Page Count | 18 |
| Starting Page | 355 |
| File Format | |
| ISSN | 00255610 |
| e-ISSN | 14364646 |
| Journal | Mathematical Programming |
| Issue Number | 1-2 |
| Volume Number | 128 |
| Language | English |
| Publisher | Springer-Verlag |
| Publisher Date | 2009-10-13 |
| Publisher Place | Berlin, Heidelberg |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Matroids, geometric lattices Theoretical, Mathematical and Computational Physics Matroid intersection Combinatorial optimization Matching Factorization, matching, partitioning, covering and packing Mathematical Methods in Physics Lagrangian relaxation Mathematics of Computing Calculus of Variations and Optimal Control; Optimization Numerical Analysis Budgeted optimization Combinatorics |
| Content Type | Text |
| Resource Type | Article |
| Subject | Mathematics Software |
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