Complexity Of Boolean Functions
Complexity of Boolean Functions is a theoretical framework in computational complexity theory that characterizes the inherent difficulty of computing Boolean functions by measuring the minimum resources, such as time, circuit size, or decision tree depth, required by any algorithm or computational model to evaluate them correctly on all inputs.
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Graph-Based Algorithms for Boolean Function Manipulation
Bryant · IEEE Transactions on Computers · 1986 · 8.9K citations · Full text
Quantum lower bounds by polynomials
Robert Beals, Harry Buhrman, Richard Cleve et al. · Journal of the ACM · 2001 · 659 citations
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Centre National de la Recherche Scientifique
Paris, France
19 h-index
34 publications
1.4K citations
Massachusetts Institute of Technology
Cambridge, United States
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32 publications
2.2K citations
Columbia University
New York, United States
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51 publications
2K citations
University of California, Berkeley
Berkeley, United States
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26 publications
1.7K citations
Rutgers, The State University of New Jersey
New Brunswick, United States
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25 publications
1.5K citations
Hebrew University of Jerusalem
Jerusalem, Israel
14 h-index
19 publications
1.5K citations
TU Dortmund University
Dortmund, Germany
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29 publications
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Technion – Israel Institute of Technology
Haifa, Israel
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JACM · 20 publications · 2.7K citations
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