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Testing Monotonicity
Authors:Oded Goldreich  Shafi Goldwasser  Eric Lehman  Dana Ron  Alex Samorodnitsky
Affiliation:(1) Department of Computer Science and Applied Mathematics, Weizmann Institute of Science; Rehovot, Israel; E-mail: oded@wisdom.weizmann.ac.il, IL;(2) Laboratory for Computer Science, MIT; 545 Technology Sq., Cambridge, MA 02139, USA; E-mail: shafi@theory.lcs.mit.edu, US;(3) Laboratory for Computer Science, MIT; 545 Technology Sq., Cambridge, MA 02139, USA; E-mail: e_lehman@theory.lcs.mit.edu, US;(4) Department of EE – Systems, Tel Aviv University; Ramat Aviv, Israel; E-mail: danar@eng.tau.ac.il, IL;(5) School of Mathematics, Institute for Advanced Study; Olden Lane, Princeton, NJ 08540, USA; E-mail: asamor@ias.edu, US
Abstract:at arguments of its choice, the test always accepts a monotone f, and rejects f with high probability if it is ε-far from being monotone (i.e., every monotone function differs from f on more than an ε fraction of the domain). The complexity of the test is O(n/ε). The analysis of our algorithm relates two natural combinatorial quantities that can be measured with respect to a Boolean function; one being global to the function and the other being local to it. A key ingredient is the use of a switching (or sorting) operator on functions. Received March 29, 1999
Keywords:AMS Subject Classification (1991) Classes:    68Q25, 68R05, 68Q05
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