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What is Big M Method in Linear Programming about?

1. The Big M-Method is used to solve linear programming problems with constraints that are equal (=) or greater than (≥) types by introducing artificial variables. 2. Artificial variables are added to constraints that are originally equal or greater than types in order to obtain an initial basic feasible solution. 3. Artificial variables are assigned a large penalty value (M) in the objective function and the problem is solved using the simplex method to drive out the artificial variables. 4. The optimal

Author

Getahun Gebru

Language

EN