Prepare for the Expected Worst: Algorithms for Reconfigurable Resources Under Uncertainty - researchr publication authors

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David Ellis Hershkowitz, R. Ravi 0001, Sahil Singla 0001. Prepare for the Expected Worst: Algorithms for Reconfigurable Resources Under Uncertainty. In Dimitris Achlioptas, László A. Végh, editors, Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques, APPROX/RANDOM 2019, September 20-22, 2019, Massachusetts Institute of Technology, Cambridge, MA, USA. Volume 145 of LIPIcs, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2019. [doi]

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