The Power of Greedy for Online Minimum Cost Matching on the Line

Author:

Balkanski Eric1ORCID,Faenza Yuri2ORCID,Périvier Noémie2ORCID

Affiliation:

1. Columbia University, New York, United States of America

2. Columbia University, New York, USA

Funder

NSF (National Science Foundation)

Publisher

ACM

Reference48 articles.

1. The Value of Excess Supply in Spatial Matching Markets

2. Antonios Foivos Antoniadis , Neal Barcelo , Michael Nugent , Kirk Pruhs , and Michele Scquizzato . 2014 . A o(n) -Competitive Deterministic Algorithm for Online Matching on a Line . In Workshop on Approximation and Online Algorithms. Antonios Foivos Antoniadis, Neal Barcelo, Michael Nugent, Kirk Pruhs, and Michele Scquizzato. 2014. A o(n) -Competitive Deterministic Algorithm for Online Matching on a Line. In Workshop on Approximation and Online Algorithms.

3. Greedy Matching in Bipartite Random Graphs

4. David Arthur , Bodo Manthey , and Heiko Röglin . 2009 . K-means has polynomial smoothed complexity . In 2009 50th Annual IEEE Symposium on Foundations of Computer Science. IEEE, 405--414 . David Arthur, Bodo Manthey, and Heiko Röglin. 2009. K-means has polynomial smoothed complexity. In 2009 50th Annual IEEE Symposium on Foundations of Computer Science. IEEE, 405--414.

5. Eric Balkanski , Yuri Faenza , and Mathieu Kubik . 2022 . The Simultaneous Semi-random Model for TSP. In International Conference on Integer Programming and Combinatorial Optimization. Springer, 43--56 . Eric Balkanski, Yuri Faenza, and Mathieu Kubik. 2022. The Simultaneous Semi-random Model for TSP. In International Conference on Integer Programming and Combinatorial Optimization. Springer, 43--56.

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