Coding Theory in Almost Linear Time and Sublinear Space
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Published on ● Video Link: https://www.youtube.com/watch?v=NFRRxy_XH5s
Dana Moshkovitz (University of Texas at Austin)
https://simons.berkeley.edu/talks/dana-moshkovitz-university-texas-austin-2024-04-10
Advances in the Theory of Error-Correcting Codes
Typical time-efficient encoding and decoding algorithms for error correcting codes use linear space. We construct asymptotically good codes that can be deterministically encoded in almost linear time and sub-linear space, as well as asymptotically good codes that can be deterministically decoded in this complexity. The encodable codes are based on hashing. The decodable codes are based on locally correctable codes and a new efficient derandomization method.
The talk is based on joint work with Joshua Cook (University of Texas at Austin).
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Simons Institute
theoretical computer science
UC Berkeley
Computer Science
Theory of Computation
Theory of Computing
Advances in the Theory of Error-Correcting Codes
Dana Moshkovitz