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In combinatorial optimization, Sherali-Adams hierarchy refers to a sequence of ever tighter linear-programming relaxations of a 0-1 program formed by multiplying constraints by products of variables. This meaning comes from Sherali (1990) in SIAM Journal on Discrete Mathematics.[1]
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