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Solving Linear Programming Using Dual Simplex Method Video Lecture | Mathematics Optional Notes for UPSC

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FAQs on Solving Linear Programming Using Dual Simplex Method Video Lecture - Mathematics Optional Notes for UPSC

1. What is the Dual Simplex Method used for in linear programming?
Ans. The Dual Simplex Method is used to solve linear programming problems by starting with an initial feasible dual solution and iteratively improving it to find the optimal solution.
2. How does the Dual Simplex Method differ from the Simplex Method?
Ans. The Dual Simplex Method differs from the Simplex Method in that it operates on the dual of the original linear programming problem, focusing on the dual variables and constraints instead of the primal variables and constraints.
3. What are the advantages of using the Dual Simplex Method over the Simplex Method?
Ans. The Dual Simplex Method can be more efficient in certain cases as it can avoid cycling and degeneracy issues that may occur when using the Simplex Method.
4. Can the Dual Simplex Method be used for all types of linear programming problems?
Ans. The Dual Simplex Method is specifically designed for solving linear programming problems with equality constraints and non-negative variables.
5. How can one determine if the Dual Simplex Method is the best approach to solve a particular linear programming problem?
Ans. One can determine if the Dual Simplex Method is the best approach by considering the structure of the problem, specifically looking at the presence of equality constraints and non-negative variables, as well as the potential for cycling and degeneracy.
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