Abstract
Following the entropy method this paper presents general concentration inequalities, which can be applied to combinatorial optimization and empirical processes. The inequalities give improved concentration results for optimal traveling salesmen tours, Steiner trees, and the eigenvalues of random symmetric matrices. © 2005 Wiley Periodicals, Inc.
Cite
CITATION STYLE
APA
Maurer, A. (2006). Concentration inequalities for functions of independent variables. Random Structures and Algorithms, 29(2), 121–138. https://doi.org/10.1002/rsa.20105
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