Algoritmos Online e de Aproximação para Clusterização e Projeto de Redes
Modelo aditivo bayesiano de árvores de regressão para regressões com descontinuidade
Texto completo | |
Autor(es): |
Chaves Pedrosa, Lehilton Lelis
;
Kasuya Rosado, Hugo Kooki
Número total de Autores: 2
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Tipo de documento: | Artigo Científico |
Fonte: | ALGORITHMICA; v. N/A, p. 37-pg., 2022-01-19. |
Resumo | |
We consider the k-PRIZE- COLLECTING STEINER TREE PROBLEM. An instance is composed of an integer k and a graph G with costs on edges and penalties on vertices. The objective is to find a tree spanning at least k vertices which minimizes the cost of the edges in the tree plus the penalties of vertices not in the tree. This is one of the most fundamental network design problems and is a common generalization of the PRIZE- COLLECTING STEINER TREE PROBLEM and the k-MINIMUM SPANNING TREE PROBLEM. Our main result is a 2-approximation algorithm, which improves on the currently best known approximation factor of 3.96 and has a faster running time. The algorithm builds on a modification of the primal-dual framework of Goemans and Williamson, and reveals interesting properties that can be applied to other similar problems. (AU) | |
Processo FAPESP: | 15/11937-9 - Investigação de problemas difíceis do ponto de vista algorítmico e estrutural |
Beneficiário: | Flávio Keidi Miyazawa |
Modalidade de apoio: | Auxílio à Pesquisa - Temático |