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...
| Главные авторы: | , , |
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| Формат: | Conference item |
| Опубликовано: |
Schloss Dagstuhl
2019
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