Hardness magnification near state-of-the-art lower bounds
This work continues the development of hardness magnification. The latter proposes a new strategy for showing strong complexity lower bounds by reducing them to a refined analysis of weaker models, where combinatorial techniques might be successful. We consider gap versions of the meta-computational...
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| フォーマット: | Conference item |
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Schloss Dagstuhl
2019
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