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For example, consider the [[n-queens problem|''n''-queens problem]], where the goal is to place ''n'' [[Queen (chess)|chess queens]] on an ''n''-by-''n'' chessboard such that none of the queens can attack each other (horizontally, vertically, or diagonally). The formal set of constraints are therefore "Queen 1 can't attack Queen 2", "Queen 1 can't attack Queen 3", and so on between all pairs of queens. Each constraint in this problem is binary, in that it only considers the placement of two individual queens.<ref>{{citation|title=Programming with Constraints: An Introduction|first1=Kim|last1=Marriott|first2=Peter J.|last2=Stuckey|publisher=MIT Press|year=1998|isbn=9780262133418|page=282|url=https://books.google.com/books?id=jBYAleHTldsC&pg=PA282}}.</ref>
[[Linear program]]s in which all constraints are binary can be solved in [[strongly polynomial time]], a result that is not known to be true for more general linear programs.<ref>{{citation
| last = Megiddo | first = Nimrod | authorlink = Nimrod Megiddo
| doi = 10.1137/0212022
| issue = 2
| journal = [[SIAM Journal on Computing]]
| mr = 697165
| pages = 347–353
| title = Towards a genuinely polynomial algorithm for linear programming
| volume = 12
| year = 1983| citeseerx = 10.1.1.76.5}}.</ref>
==References==
{{reflist}}
[[Category:Mathematical optimization]]
[[Category:Constraint programming]]
{{Mathapplied-stub}}
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