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» Lattice-based computation of Boolean functions
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ICALP
2001
Springer
14 years 2 days ago
Separating Quantum and Classical Learning
We consider a model of learning Boolean functions from quantum membership queries. This model was studied in [26], where it was shown that any class of Boolean functions which is i...
Rocco A. Servedio
DSD
2003
IEEE
142views Hardware» more  DSD 2003»
14 years 27 days ago
FC-Min: A Fast Multi-Output Boolean Minimizer
We present a novel heuristic algorithm for two-level Boolean minimization. In contrast to the other approaches, the proposed method firstly finds the coverage of the on-sets and f...
Petr Fiser, Jan Hlavicka, Hana Kubatova
DAC
2003
ACM
14 years 8 months ago
Symbolic representation with ordered function templates
Binary Decision Diagrams (BDDs) often fail to exploit sharing between Boolean functions that differ only in their support variables. In a memory circuit, for example, the function...
Amit Goel, Gagan Hasteer, Randal E. Bryant
ICCAD
1999
IEEE
119views Hardware» more  ICCAD 1999»
13 years 12 months ago
Factoring logic functions using graph partitioning
Algorithmic logic synthesis is usually carried out in two stages, the independent stage where logic minimization is performed on the Boolean equations with no regard to physical p...
Martin Charles Golumbic, Aviad Mintz
STOC
1999
ACM
85views Algorithms» more  STOC 1999»
13 years 12 months ago
A Theorem on Sensitivity and Applications in Private Computation
In this paper we prove a theorem that gives an (almost) tight upper bound on the sensitivity of a multiple-output Boolean function in terms of the sensitivity of its coordinates an...
Anna Gál, Adi Rosén