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Recent Advances in Randomness Extraction
1Department of Computer Science, Cornell University, Ithaca, NY 14850, USA.
Entropy (Basel, Switzerland)
|July 27, 2022
Summary
Recent advances in randomness extraction have solved many problems and introduced new concepts. This survey highlights key developments and definitions in the field of randomness extraction.
Area of Science:
- Randomness extraction
- Theoretical computer science
Background:
- Significant progress in randomness extraction has been achieved recently.
- Many long-standing open problems in the field have been addressed.
Purpose of the Study:
- To survey recent advances in randomness extraction.
- To highlight new definitions and notions in the field.
Main Methods:
- Literature review of recent research in randomness extraction.
- Analysis of new definitions and their impact.
Main Results:
- Identification of key breakthroughs in randomness extraction.
- Cataloging of novel concepts driving recent progress.
Conclusions:
- The field of randomness extraction is rapidly evolving.
- New theoretical frameworks are emerging and being actively studied.
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