We first find a pivot column, which would be the column which contains the largest destructive coefficient within the row that contains the target purpose.
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We try this by turning Every single constraint inequality into a linear equation by including new variables we phone slack variables and rewriting the target operate.
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Linear Programming (LP) is a method to accomplish the top end result, like optimum earnings or lowest Price tag in a very Mathematical Design whose needs are represented by linear associations.
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The 1st two constraints, x1 ≥ 0 and x2 ≥ 0 are Particular. These are generally identified as nonnegativity constraints and in many cases are present in linear programming issues. The other constraints are then known as the principal constraints.
Action 4: Recognize the best detrimental entry in the bottom row the column in the element with the highest destructive entry is called the pivot column
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