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{{Other uses|Ε-net (disambiguation){{!}}Ε-net}}
{{lowercase|title=ε-net}}
▲An '''''ε''-net''' (pronounced [[epsilon]]-net) is any of several related concepts in [[mathematics]], and in particular in [[computational geometry]], where it relates to the approximation of a general set by a collection of simpler subsets. It has a particular meaning in [[probability theory]] where it is used to describe the approximation of one probability distribution by another.
== Background ==
[[File:Unit square ɛ-net.svg|right|thumb|An ε-net with ε = 1/4 of the unit square in the range space where the ranges are closed filled rectangles.]]
Let ''X'' be a set and R be a set of subsets of ''X''; such a pair is called a ''range space'' or [[hypergraph]], and the elements of ''R'' are called ''ranges'' or ''hyperedges''. An '''ε-net''' of a subset ''P'' of ''X'' is a subset ''N'' of ''P'' such that any range ''r'' ∈ R with |''r'' ∩ ''P''| ≥ ''ε''|''P''| intersects ''N''.<ref name="HausslerWelzl1987">{{citation
| last1 = Haussler | first1 = David | author1-link = David Haussler
| last2 = Welzl | first2 = Emo | author2-link = Emo Welzl
| doi = 10.1007/BF02187876
| issue = 2
| journal = [[Discrete
| mr = 884223
| pages = 127–151
| title = ε-nets and simplex range queries
| volume = 2
| year = 1987| doi-access = free
For example, suppose ''X'' is the set of points in the two-dimensional plane, ''R'' is the set of closed filled rectangles (products of closed intervals), and ''P'' is the unit square [0, 1] × [0, 1]. Then the set N consisting of the 8 points shown in the adjacent diagram is a 1/4-net of P, because any closed filled rectangle intersecting at least 1/4 of the unit square must intersect one of these points. In fact, any (axis-parallel) square, regardless of size, will have a similar 8-point 1/4-net.
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For any range space with finite [[VC dimension]] ''d'', regardless of the choice of P, there exists an ε-net of ''P'' of size
: <math>O\left(\frac{d}{\varepsilon} \log \frac{d}{\varepsilon}\right)\!;</math><ref name="HausslerWelzl1987"/>
because the size of this set is independent of ''P'', any set ''P'' can be described using a set of fixed size.
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| doi = 10.1007/BF02570718
| issue = 4
| journal = [[Discrete
| mr = 1360948
| pages = 463–479
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| url = http://www.ics.uci.edu/~goodrich/pubs/setcover.ps
| volume = 14
| year = 1995
}}.</ref>
== Probability theory ==
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