Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
421299 | Discrete Applied Mathematics | 2010 | 12 Pages |
Abstract
As in earlier works, we consider {0,1}n{0,1}n as a sample space with a probability measure on it, thus making pseudo-Boolean functions into random variables. Under the assumption that the coordinate random variables are independent, we show it is very easy to give an orthonormal basis for the space of pseudo-Boolean random variables of degree at most kk. We use this orthonormal basis to find the transform of a given pseudo-Boolean random variable and to answer various least squares minimization questions.
Related Topics
Physical Sciences and Engineering
Computer Science
Computational Theory and Mathematics
Authors
Guoli Ding, R.F. Lax, Jianhua Chen, Peter P. Chen, Brian D. Marx,