A '''binary constraint''', in mathematical optimization, is a constraint that involves exactly two variables.
For example, consider the ''n''-queens problem, where the goal is to place ''n'' 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 programs 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
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