The Power of Amortization on Scheduling with Explorable Uncertainty

Author:

Liu Alison Hsiang-HsuanORCID,Liu Fu-HongORCID,Wong Prudence W. H.ORCID,Zhang Xiao-Ou

Publisher

Springer Nature Switzerland

Reference20 articles.

1. Lecture Notes in Computer Science;S Albers,2021

2. Cardoso, J.M.P., Diniz, P.C., Coutinho, J.G.F.: Embedded Computing for High Performance: Efficient Mapping of Computations Using Customization, Code Transformations and Compilation. Morgan Kaufmann Publishers, Burlington (2017)

3. Caruso, S., Galatà, G., Maratea, M., Mochi, M., Porro, I.: Scheduling pre-operative assessment clinic via answer set programming. In: Benedictis, R.D., et al. (eds.) Proceedings of the 9th Italian workshop on Planning and Scheduling (IPS’21) and the 28th International Workshop on “Experimental Evaluation of Algorithms for Solving Problems with Combinatorial Explosion” (RCRA 2021) with CEUR-WS co-located with 20th International Conference of the Italian Association for Artificial Intelligence (AIxIA 2021), Milan, Italy (virtual), 29th–30th November 2021. CEUR Workshop Proceedings, vol. 3065. CEUR-WS.org (2021). https://ceur-ws.org/Vol-3065/paper3_196.pdf

4. Ding, B., Feng, Y., Ho, C., Tang, W., Xu, H.: Competitive information design for pandora’s box. In: Bansal, N., Nagarajan, V. (eds.) Proceedings of the 2023 ACM-SIAM Symposium on Discrete Algorithms, SODA 2023, Florence, Italy, 22–25 January 2023, pp. 353–381. SIAM (2023). https://doi.org/10.1137/1.9781611977554.ch15

5. Dürr, C., Erlebach, T., Megow, N., Meißner, J.: Scheduling with explorable uncertainty. In: Karlin, A.R. (ed.) 9th Innovations in Theoretical Computer Science Conference, ITCS 2018, 11–14 January 2018, Cambridge, MA, USA. LIPIcs, vol. 94, pp. 30:1–30:14. Schloss Dagstuhl - Leibniz-Zentrum für Informatik (2018). https://doi.org/10.4230/LIPIcs.ITCS.2018.30

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