Reducing Tarski to Unique Tarski (in the Black-box Model)
Reducing Tarski to Unique Tarski (in the Black-box Model)
复制标题
将 Tarski 简化为独特的 Tarski(在黑盒模型中)
DOI:
10.4230/lipics.ccc.2023.21
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发表时间:
2023
期刊:
影响因子:
--
通讯作者:
M. Yannakakis
中科院分区:
文献类型:
--
作者:
Xi Chen;Yuhao Li;M. Yannakakis
We study the problem of finding a Tarski fixed point over the k -dimensional grid [ n ] k . We give a black-box reduction from the Tarski problem to the same problem with an additional promise that the input function has a unique fixed point. It implies that the Tarski problem and the unique Tarski problem have exactly the same query complexity. Our reduction is based on a novel notion of partial-information functions which we use to fool algorithms for the unique Tarski problem as if they were working on a monotone function with a unique fixed point
DOI:
10.4230/lipics.itcs.2020.18
发表时间:
2020
期刊:
11th Innovations in Theoretical Computer Science Conference
影响因子:
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作者:
Etessami, Kousha;Papadimitriou, Christos H;Rubinstein, Aviad;Yannakakis, Mihalis
通讯作者:
Yannakakis, Mihalis
影响因子:
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作者:
Fearnley, John;Gordon, Spencer;Mehta, Ruta;Savani, Rahul
通讯作者:
Savani, Rahul
DOI:
10.1145/3490486.3538297
发表时间:
2022
期刊:
Proceedings of the 23rd ACM Conference on Economics and Computation (EC ’22
影响因子:
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作者:
Chen, Xi;Li, Yuhao
通讯作者:
Li, Yuhao