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Big M method

Method of solving linear programming problems, extending the simplex algorithm to problems with greater-than constraints by associating the constraints with large negative constants

Texto em inglês

In operations research, the Big M method is a method of solving linear programming problems using the simplex algorithm. The Big M method extends the simplex algorithm to problems that contain "greater-than" constraints.

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Texto em inglês Ainda não há artigo no seu idioma: trecho em inglês.

In operations research, the Big M method is a method of solving linear programming problems using the simplex algorithm. The Big M method extends the simplex algorithm to problems that contain "greater-than" constraints. It does so by associating the constraints with large negative constants which would not be part of any optimal solution, if it exists.

Texto: Wikipédia em inglês, CC BY-SA 4.0. ·

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