Representing Boolean functions as polynomials modulo composite numbers
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Publication:1346617
DOI10.1007/BF01263424zbMath0829.68057OpenAlexW2054996571MaRDI QIDQ1346617
David A. Mix Barrington, Richard Beigel, Steven Rudich
Publication date: 6 April 1995
Published in: Computational Complexity (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/bf01263424
Symbolic computation and algebraic computation (68W30) Complexity classes (hierarchies, relations among complexity classes, etc.) (68Q15)
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Cites Work
- Probabilistic polynomials, AC\(^ 0\) functions and the polynomial-time hierarchy
- \(NC^ 1\): The automata-theoretic viewpoint
- Non-uniform automata over groups
- Relations among MOD-classes
- On the construction of parallel computers from various basis of Boolean functions
- Lower bounds on the size of bounded depth circuits over a complete basis with logical addition
- Bounded-width polynomial-size branching programs recognize exactly those languages in \(NC^ 1\)
- A lower bound on the MOD 6 degree of the OR function
- Representing Boolean functions as polynomials modulo composite numbers
- Relativized counting classes: Relations among thresholds, parity, and mods
- Parity, circuits, and the polynomial-time hierarchy
- Finite monoids and the fine structure of NC 1
- Counting Classes are at Least as Hard as the Polynomial-Time Hierarchy
- On the power of parity polynomial time
- Counting classes: Thresholds, parity, mods, and fewness
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