Dual Method Feasibility Check

Introduction to Dual Method Feasibility Check

The dual simplex method is an optimization algorithm used to solve linear programming problems. After each iteration, a feasibility check is required to determine if the current solution is valid. A feasible solution must not have negative coefficients; if any coefficient is negative, the solution is not feasible.

Parameter usage:

• ...coefficients - an array of numbers representing the current solution's coefficients.

Output:

• String - A message indicating whether the solution is feasible.

Data validation

Parameters must be numeric and properly formatted; otherwise, an error message is returned.

Summary

This check is critical in the dual simplex method for determining whether the current solution is a candidate for the optimal solution in a linear programming problem.