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The hereditary discrepancy is nearly independent of the number of colors
by
Doerr, Benjamin
in
Algebra
/ Applied mathematics
/ Arithmetic progressions
/ Combinatorics
/ Combinatorics. Ordered structures
/ Discrete mathematics
/ Exact sciences and technology
/ Graph theory
/ Hypergraphs
/ Mathematical constants
/ Mathematical theorems
/ Mathematics
/ Matrices
/ Number theory
/ Research article
/ Sciences and techniques of general use
/ Standard deviation
/ Vertices
2004
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The hereditary discrepancy is nearly independent of the number of colors
by
Doerr, Benjamin
in
Algebra
/ Applied mathematics
/ Arithmetic progressions
/ Combinatorics
/ Combinatorics. Ordered structures
/ Discrete mathematics
/ Exact sciences and technology
/ Graph theory
/ Hypergraphs
/ Mathematical constants
/ Mathematical theorems
/ Mathematics
/ Matrices
/ Number theory
/ Research article
/ Sciences and techniques of general use
/ Standard deviation
/ Vertices
2004
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Do you wish to request the book?
The hereditary discrepancy is nearly independent of the number of colors
by
Doerr, Benjamin
in
Algebra
/ Applied mathematics
/ Arithmetic progressions
/ Combinatorics
/ Combinatorics. Ordered structures
/ Discrete mathematics
/ Exact sciences and technology
/ Graph theory
/ Hypergraphs
/ Mathematical constants
/ Mathematical theorems
/ Mathematics
/ Matrices
/ Number theory
/ Research article
/ Sciences and techniques of general use
/ Standard deviation
/ Vertices
2004
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The hereditary discrepancy is nearly independent of the number of colors
Journal Article
The hereditary discrepancy is nearly independent of the number of colors
2004
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Overview
We investigate the discrepancy (or balanced coloring) problem for hypergraphs and matrices in arbitrary numbers of colors. We show that the hereditary discrepancy in two different numbers a,b∈N≥2a, b \\in {\\mathbb N} _{\\ge 2} of colors is the same apart from constant factors, i.e., \\[ herdisc(⋅,b)=Θ(herdisc(⋅,a)).\\operatorname {herdisc}(\\cdot ,{b}) = \\Theta ( \\operatorname {herdisc}(\\cdot ,{a})). \\] This contrasts the ordinary discrepancy problem, where no correlation exists in many cases.
Publisher
American Mathematical Society
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