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In case of solution of linear programming problem using graphical method, if the constraint line of one of the non-redundant constraints is parallel to the objective function line, then it indicates
  • a)
    an infeasible solution
  • b)
    a degenerate solution
  • c)
    an unbound solution
  • d)
    a multiple number of optimal solutions
Correct answer is option 'D'. Can you explain this answer?
Most Upvoted Answer
In case of solution of linear programming problem using graphical met...
Explanation:

Parallel Constraint Line:
When the constraint line of a non-redundant constraint is parallel to the objective function line in a linear programming problem using the graphical method, it indicates a special case.

Multiple Number of Optimal Solutions:
- When the constraint line is parallel to the objective function line, it means that there are infinitely many points on the constraint line that are optimal solutions.
- This is because any point along the constraint line that is parallel to the objective function line will have the same objective function value.
- Therefore, there exist multiple optimal solutions in this scenario.

Significance of Multiple Optimal Solutions:
- Having multiple optimal solutions in a linear programming problem can offer flexibility in decision-making.
- It allows the decision-maker to choose from a range of solutions that all result in the same optimal objective function value.
- The existence of multiple optimal solutions can provide insights into the sensitivity of the solution to changes in the problem parameters.

Conclusion:
In conclusion, when the constraint line of a non-redundant constraint is parallel to the objective function line in a linear programming problem, it signifies the presence of multiple optimal solutions. This situation offers decision-makers the opportunity to select from a variety of equally optimal solutions.
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In case of solution of linear programming problem using graphical method, if the constraint line of one of the non-redundant constraints is parallel to the objective function line, then it indicatesa) an infeasible solutionb) a degenerate solutionc) an unbound solutiond) a multiple number of optimal solutionsCorrect answer is option 'D'. Can you explain this answer?
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