| Article ID | Journal | Published Year | Pages | File Type | 
|---|---|---|---|---|
| 1141706 | Discrete Optimization | 2008 | 13 Pages | 
Abstract
												We study the problem of optimizing nonlinear objective functions over bipartite matchings. While the problem is generally intractable, we provide several efficient algorithms for it, including a deterministic algorithm for maximizing convex objectives, approximative algorithms for norm minimization and maximization, and a randomized algorithm for optimizing arbitrary objectives.
Keywords
												
											Related Topics
												
													Physical Sciences and Engineering
													Mathematics
													Control and Optimization
												
											Authors
												Yael Berstein, Shmuel Onn, 
											