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Algorithms and Complexity for Variants of Covariates Fine Balance

Authors :
Hochbaum, Dorit S.
Levin, Asaf
Rao, Xu
Publication Year :
2020

Abstract

We study here several variants of the covariates fine balance problem where we generalize some of these problems and introduce a number of others. We present here a comprehensive complexity study of the covariates problems providing polynomial time algorithms, or a proof of NP-hardness. The polynomial time algorithms described are mostly combinatorial and rely on network flow techniques. In addition we present several fixed-parameter tractable results for problems where the number of covariates and the number of levels of each covariate are seen as a parameter.

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2009.08172
Document Type :
Working Paper