Concept
Approximation algorithms are designed to find near-optimal solutions to optimization problems where finding the exact solution is computationally infeasible. They are particularly useful for NP-hard problems, providing solutions that are provably close to the best possible answer within a guaranteed performance ratio or approximation factor.
Relevant Fields:
3