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Budgeted Prize-Collecting Traveling Salesman and Minimum Spanning Tree Problems

机译:预算奖品收集旅行推销员和最低生成树问题

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摘要

We consider constrained versions of the prize-collecting traveling salesman and the prize-collecting minimum spanning tree problems. The goal is to maximize the number of vertices in the returned tour/tree subject to a bound on the tour/tree cost. Rooted variants of the problems have the additional constraint that a given vertex, the root, must be contained in the tour/tree. We present a 2-approximation algorithm for the rooted and unrooted versions of both the tree and tour variants. The algorithm is based on a parameterized primal-dual approach. It relies on first finding a threshold value for the dual variable corresponding to the budget constraint in the primal and then carefully constructing a tour/tree that is, in a precise sense, just within budget. We improve upon the best-known guarantee of 2+ epsilon for the rooted and unrooted tour versions and 3 + epsilon for the rooted and unrooted tree versions. Our analysis extends to the setting with weighted vertices, in which we want to maximize the total weight of vertices in the tour/tree. Interestingly enough, the algorithm and analysis for the rooted case and the unrooted case are almost identical.
机译:我们考虑受限制的奖品收集旅游推销员和收集最小生成树问题的版本。目标是最大化返回的旅游/树中的顶点数量,而受到旅游/树费的绑定。生根变体的问题具有给定顶点,根目录必须包含在旅游/树中的附加约束。我们为树和旅游变体的植根和未加工版本提供了一个2近似算法。该算法基于参数化的原始方法。它依赖于首先找到与原始预算约束对应的双变量的阈值,然后仔细构建一个在预算范围内以精确的意义上的旅游/树。我们改善了植根和大型旅游版本和植根直播的旅游版本和3 + epsilon的最佳已知保证。我们的分析扩展到具有加权顶点的设置,其中我们希望最大化游览/树中顶点的总重量。有趣的是,省略案例的算法和分析几乎是相同的。

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