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#big_m_method

Big M method

Method of solving linear programming problems

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.

Mon 3rd

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Big M method Slack variable Simplex algorithm Euler method Horner's method Scientific method The Crystal Method Karush–Kuhn–Tucker conditions List of numerical analysis topics Generalized method of moments
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