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Replication data for "The Hamiltonian p-median Problem: Polyhedral Results and Branch-and-Cut Algorithms"
Mar 13, 2024
Barbato, Michele; Luís Gouveia, 2023, "Replication data for "The Hamiltonian p-median Problem: Polyhedral Results and Branch-and-Cut Algorithms"", https://doi.org/10.13130/RD_UNIMI/UDEATS, UNIMI Dataverse, V3
Dataset containing the experimental results of the research work "The Hamiltonian p-Median Problem: Polyhedral Results and Branch-and-Cut Algorithms".
Replication data for "Sub-tree scheduling for wireless sensor networks with partial coverage: complexity and polynomial-size formulations"
Dec 18, 2023
Barbato, Michele; Bianchessi, Nicola, 2023, "Replication data for "Sub-tree scheduling for wireless sensor networks with partial coverage: complexity and polynomial-size formulations"", https://doi.org/10.13130/RD_UNIMI/GD9OKQ, UNIMI Dataverse, V1
Instances and detailed experimental results of the research work entitled "Sub-tree scheduling for wireless sensor networks with partial coverage: complexity and polynomial-size formulations". For additional information, please refer to the included readme file.
Instances and computational results of: Mathematical Programming for Simultaneous Feature Selection and Outlier Detection under l1 Norm
Sep 27, 2023
Barbato, Michele; Ceselli, Alberto, 2023, "Instances and computational results of: Mathematical Programming for Simultaneous Feature Selection and Outlier Detection under l1 Norm", https://doi.org/10.13130/RD_UNIMI/LZA4F8, UNIMI Dataverse, V1, UNF:6:8qCKYGVl2js4qUPec4qIpg== [fileUNF]
This dataset contains instances and computational results of "Mathematical Programming for Simultaneous Feature Selection and Outlier Detection under l1 Norm". See the included readme files for a description of the dataset content.
Replication data for " On optimally solving sub-tree scheduling for wireless sensor networks with partial coverage: A branch-and-cut algorithm"
Feb 3, 2023
Bianchessi, Nicola, 2023, "Replication data for " On optimally solving sub-tree scheduling for wireless sensor networks with partial coverage: A branch-and-cut algorithm"", https://doi.org/10.13130/RD_UNIMI/IHTWC0, UNIMI Dataverse, V1, UNF:6:o+N3y3vWczdEhAUSUSFb7g== [fileUNF]
This dataset contains new benchmark instances for the optimization problem introduced by Adasme (2019) under the name Sub-Tree Scheduling for Wireless Sensor Networks with Partial Coverage (STSWSN-PC). The instances are those addressed in Bianchessi (2022), in which a complete de...
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