About this document
Big-M Method for Linear Programming by xejahe6532 is a document available to read on EtoBox.
The document describes the Big-M method for solving linear programming problems (LPP) with inequality constraints or that are not initially in standard form. It involves introducing artificial variables and constraints with large M coefficients to convert it to standard form. The simplex method is then applied to minimize the artificial variables to zero to obtain the optimal solution. Three examples demonstrate converting LPPs to standard form and solving them using the Big-M method and simplex tableaus.
- Author
- xejahe6532
- Language
- EN