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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

Texte en anglais

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.

Sur Wikipédia

Texte en anglais Pas encore d'article dans ta langue : extrait en anglais.

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.

Texte : Wikipédia en anglais, CC BY-SA 4.0. ·

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