๐ฎ
๐ฎ
The Ethereal
Algebraic Problems Equivalent to Beating Exponent 3/2 for Polynomial Factorization over Finite Fields
June 14, 2016 ยท The Ethereal ยท ๐ International Symposium on Mathematical Foundations of Computer Science
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Zeyu Guo, Anand Kumar Narayanan, Chris Umans
arXiv ID
1606.04592
Category
cs.CC: Computational Complexity
Cross-listed
cs.DS,
cs.SC
Citations
5
Venue
International Symposium on Mathematical Foundations of Computer Science
Last Checked
6 months ago
Abstract
The fastest known algorithm for factoring univariate polynomials over finite fields is the Kedlaya-Umans (fast modular composition) implementation of the Kaltofen-Shoup algorithm. It is randomized and takes $\widetilde{O}(n^{3/2}\log q + n \log^2 q)$ time to factor polynomials of degree $n$ over the finite field $\mathbb{F}_q$ with $q$ elements. A significant open problem is if the $3/2$ exponent can be improved. We study a collection of algebraic problems and establish a web of reductions between them. A consequence is that an algorithm for any one of these problems with exponent better than $3/2$ would yield an algorithm for polynomial factorization with exponent better than $3/2$.
Community Contributions
Found the code? Know the venue? Think something is wrong? Let us know!
๐ Similar Papers
In the same crypt โ Computational Complexity
๐ฎ
๐ฎ
The Ethereal
An Exponential Separation Between Randomized and Deterministic Complexity in the LOCAL Model
๐ฎ
๐ฎ
The Ethereal
The Parallelism Tradeoff: Limitations of Log-Precision Transformers
๐ฎ
๐ฎ
The Ethereal
The Hardness of Approximation of Euclidean k-means
๐ฎ
๐ฎ
The Ethereal
Slightly Superexponential Parameterized Problems
๐ฎ
๐ฎ
The Ethereal