Please note that ISTA Research Explorer no longer supports Internet Explorer versions 8 or 9 (or earlier).
We recommend upgrading to the latest Internet Explorer, Google Chrome, or Firefox.
9096 Publications
2021 | Journal Article | IST-REx-ID: 11756 |
Henzinger, M. H., & Peng, P. (2021). Constant-time dynamic weight approximation for minimum spanning forest. Information and Computation. Elsevier. https://doi.org/10.1016/j.ic.2021.104805
[Preprint]
View
| DOI
| Download Preprint (ext.)
| arXiv
2021 | Conference Paper | IST-REx-ID: 11771 |
Henzinger, M. H., & Wu, X. (2021). Upper and lower bounds for fully retroactive graph problems. In 17th International Symposium on Algorithms and Data Structures (Vol. 12808, pp. 471–484). Virtual: Springer Nature. https://doi.org/10.1007/978-3-030-83508-8_34
[Preprint]
View
| DOI
| Download Preprint (ext.)
| arXiv
2021 | Conference Paper | IST-REx-ID: 11814 |
Fichtenberger, H., Henzinger, M. H., & Ost, W. (2021). Differentially private algorithms for graphs under continual observation. In 29th Annual European Symposium on Algorithms (Vol. 204). Lisbon, Portual: Schloss Dagstuhl - Leibniz-Zentrum für Informatik. https://doi.org/10.4230/LIPIcs.ESA.2021.42
[Published Version]
View
| DOI
| Download Published Version (ext.)
| arXiv
2021 | Journal Article | IST-REx-ID: 11886 |
Henzinger, M. H., Krinninger, S., & Nanongkai, D. (2021). A deterministic almost-tight distributed algorithm for approximating single-source shortest paths. SIAM Journal on Computing. Society for Industrial & Applied Mathematics. https://doi.org/10.1137/16m1097808
[Preprint]
View
| DOI
| Download Preprint (ext.)
| arXiv
2021 | Conference Paper | IST-REx-ID: 11919 |
Bergamaschi, T., Henzinger, M. H., Gutenberg, M. P., Williams, V. V., & Wein, N. (2021). New techniques and fine-grained hardness for dynamic near-additive spanners. In 32nd Annual ACM-SIAM Symposium on Discrete Algorithms (pp. 1836–1855). Alexandria, VA, United States: Society for Industrial and Applied Mathematics. https://doi.org/10.1137/1.9781611976465.110
[Preprint]
View
| DOI
| Download Preprint (ext.)
| arXiv