2015
DOI: 10.1145/2852040.2852051
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Complexity Theory Column 88

Abstract: Algebraic complexity theory studies the complexity of computing (multivariate) polynomials efficiently using algebraic circuits. This succinct representation leads to fundamental algorithmic challenges such as the polynomial identity testing (PIT) problem (decide nonzeroness of the computed polynomial) and the polynomial factorization problem (compute succinct representations of the factors of the circuit). While the Schwartz-Zippel-DeMillo-Lipton Lemma [Sch80,Zi… Show more

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Cited by 11 publications
(2 citation statements)
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“…This question is already addressed in some other surveys such as [22,26,54]. Because of this, and since this is the area in which the speaker has the least expertise, we give only a very cursory overview of the accomplishments and challenges here.…”
Section: Factorizationmentioning
confidence: 99%
“…This question is already addressed in some other surveys such as [22,26,54]. Because of this, and since this is the area in which the speaker has the least expertise, we give only a very cursory overview of the accomplishments and challenges here.…”
Section: Factorizationmentioning
confidence: 99%
“…Specifically, von zur Gathen and Kaltofen [30] gave an explicit s-sparse polynomial (over any field) which has a factor with s Ω(log s) monomials, and Volkovich [85] gave, for a prime p, an explicit n-variate n-sparse polynomial of degree-p which in characteristic p has a factor with n+p−2 n−1 monomials (an exponential separation for p ≥ poly(n)). We refer the reader to the survey of Forbes and Shpilka [28] for more on the challenges in factoring small algebraic circuits.…”
Section: Connections To Hardness Versus Randomness and Factoring Circuitsmentioning
confidence: 99%