Unbiased Statistics of a CSP - A Controlled-Bias Generator

Denis Berthier

doi:10.1007/978-90-481-3660-5_28

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arXiv · 1111.4083

Unbiased Statistics of a CSP - A Controlled-Bias Generator

Denis Berthier

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Abstract

We show that estimating the complexity (mean and distribution) of the instances of a fixed size Constraint Satisfaction Problem (CSP) can be very hard. We deal with the main two aspects of the problem: defining a measure of complexity and generating random unbiased instances. For the first problem, we rely on a general framework and a measure of complexity we presented at CISSE08. For the generation problem, we restrict our analysis to the Sudoku example and we provide a solution that also explains why it is so difficult.

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Denis Berthier. 2011-11-17. Unbiased Statistics of a CSP - A Controlled-Bias Generator. https://doi.org/10.1007/978-90-481-3660-5_28

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