It has been suggested that at each iteration of the simplex algorithm, the entering variable should be (in a maximizationproblem) the variable that would bring about the greatest increase in the objective function. Although this usually results infewer pivots than the rule of entering the most negative row 0 entry, the greatest increase rule is hardly ever used. Why not?
It has been suggested that at each iteration of the simplex algorithm, the entering variable should be (in a maximizationproblem) the variable that would bring about the greatest increase in the objective function. Although this usually results infewer pivots than the rule of entering the most negative row 0 entry, the greatest increase rule is hardly ever used. Why not?
Practical Management Science
6th Edition
ISBN:9781337406659
Author:WINSTON, Wayne L.
Publisher:WINSTON, Wayne L.
Chapter8: Evolutionary Solver: An Alternative Optimization Procedure
Section: Chapter Questions
Problem 38P
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It has been suggested that at each iteration of the simplex algorithm, the entering variable should be (in a maximization
problem) the variable that would bring about the greatest increase in the objective function. Although this usually results in
fewer pivots than the rule of entering the most negative row 0 entry, the greatest increase rule is hardly ever used. Why not?
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