A feasible solution to a linear programming problem must satisfy all of the problem’s constraints simultaneously.
Here are some additional things to remember about feasible solutions:
- They may not necessarily be the optimal solution (the one that maximizes or minimizes the objective function).
- They form the basis for finding the optimal solution by testing different feasible solutions.
- They typically exist within the feasible region, which is the graphical representation of all points that satisfy the constraints.
I hope this helps! Let me know if you have any other questions about linear programming.