The significance of infeasibility in optimization problems is that it indicates the impossibility of finding a solution that meets all the given constraints, highlighting the need for either constraint adjustments or a reevaluation of problem assumptions.

Infeasibility is like hitting a dead end in math or stuff like planning. It means you can't find a solution that works, and it's a big deal cause it messes up your whole plan or problem solving.

The significance of infeasibility is to suggested that it is impossible to you to find the optimal solution in a problem since all the constraints doesn't meet to each other.