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Simplex Method. Step1. (1)Standard maximization problem in standard form. (2)Initial system. (3) Initial Simplex Tableau. Fundamental Theorem of Linear Programming (3).
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Fundamental Theorem of Linear Programming (3) • If the optimal value of the objective function in a linear programming problem exists, then that value must occur at one (or more) of the basic feasible solutions of the initial system.
Step2.Select basic variables • The number of basic variables=the number of equations in the initial system • Determine a basic variable so that its corresponding column has exactly one nonzero element and such elements from each column are not placed in the same row. • P must be a basic variable.
Step3.Determine the pivot number 1. Locate the most negative value(a negative indicator) in the bottom row --the pivot column 2. Divide each positive element in the pivot column into the element in the last column. Find the smallest quotient. -- the pivot row 3. Determine the pivot number
Step4.Perform a pivot operation 1. Transform the pivot element into 1 by the pivot column 1/the pivot number. 2. Transform all other nonzero element in the pivot column into 0’s by multiples of the pivot row the other rows
Geometric Interpretation of the Simplex Process • Basic feasible solutions in order to be found • The simplex process started at (0,0), moved to the adjacent corner point (0,16), and then to the optimal solution at the next adjacent corner point at (20,6)
Example • Solve the linear programming problem using the simplex method.