Partitioning Vectors into Quadruples: Worst-Case Analysis of a Matching-Based Algorithm
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Publication:5091037
DOI10.4230/LIPIcs.ISAAC.2018.45OpenAlexW2962847859MaRDI QIDQ5091037
Annette M. C. Ficker, Erlebach, Thomas, Frits C. R. Spieksma, Matúš Mihalák
Publication date: 21 July 2022
Full work available at URL: https://arxiv.org/abs/1807.01962
Cites Work
- Unnamed Item
- Edge-decomposition of graphs into copies of a tree with four edges
- Edge-decompositions of highly connected graphs into paths
- Covering the edges of bipartite graphs using \(K_{2,2}\) graphs
- On the number of perfect matchings of line graphs
- Multi-dimensional vector assignment problems
- The Vector Partition Problem for Convex Objective Functions
- Approximation Algorithms for the Wafer to Wafer Integration Problem
- The Design of Approximation Algorithms
- Approximation algorithms for metric facility location and k -Median problems using the primal-dual schema and Lagrangian relaxation
- On partitioning the edges of graphs into connected subgraphs
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