Dense Dataset from the paper "From Theory to Practice: Engineering Approximation Algorithms for Dynamic Orientation"
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2025
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| _version_ | 1866902204200255488 |
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| author | Großmann, Ernestine van der Hoog, Ivor Reinstädtler, Henrik Rotenberg, Eva Schulz, Christian Vlieghe, Juliette Marie Victoire |
| author_facet | Großmann, Ernestine van der Hoog, Ivor Reinstädtler, Henrik Rotenberg, Eva Schulz, Christian Vlieghe, Juliette Marie Victoire |
| contents | <p>Dense Dataset for the From Theory to Practice: Engineering Approximation Algorithms for Dynamic Orientation</p> <p> </p> <div> <div>Ivor van der Hoog, Eva Rotenberg, and Juliette Vlieghe are grateful to the VILLUM Foundation for supporting this research via Eva Rotenberg's Young Investigator grant (VIL37507) ``Efficient Recomputations for Changeful Problems''. Part of this work took place while these authors were affiliated with the Technical University of Denmark.</div> <div>Ernestine Grossmann, Henrik Renstädtler, and Christian Schulz acknowledge support by DFG grant SCHU 2567/8-1.</div> <div>Ivor van der Hoog: This project has received funding from the European Union’s Horizon 2020<br>research and innovation programme under the Marie Skłodowska-Curie grant agreement No 899987</div> </div> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_15785840 |
| institution | Zenodo |
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| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Dense Dataset from the paper "From Theory to Practice: Engineering Approximation Algorithms for Dynamic Orientation" Großmann, Ernestine van der Hoog, Ivor Reinstädtler, Henrik Rotenberg, Eva Schulz, Christian Vlieghe, Juliette Marie Victoire <p>Dense Dataset for the From Theory to Practice: Engineering Approximation Algorithms for Dynamic Orientation</p> <p> </p> <div> <div>Ivor van der Hoog, Eva Rotenberg, and Juliette Vlieghe are grateful to the VILLUM Foundation for supporting this research via Eva Rotenberg's Young Investigator grant (VIL37507) ``Efficient Recomputations for Changeful Problems''. Part of this work took place while these authors were affiliated with the Technical University of Denmark.</div> <div>Ernestine Grossmann, Henrik Renstädtler, and Christian Schulz acknowledge support by DFG grant SCHU 2567/8-1.</div> <div>Ivor van der Hoog: This project has received funding from the European Union’s Horizon 2020<br>research and innovation programme under the Marie Skłodowska-Curie grant agreement No 899987</div> </div> |
| title | Dense Dataset from the paper "From Theory to Practice: Engineering Approximation Algorithms for Dynamic Orientation" |
| url | https://doi.org/10.5281/zenodo.15785840 |