Combinatorics
Approximation algorithms are algorithms designed to find solutions to optimization problems that are close to the best possible solution, particularly when exact solutions are computationally infeasible. They play a crucial role in tackling NP-hard problems, where finding an exact solution may require exponential time. These algorithms provide a trade-off between optimality and computational efficiency, allowing for practical solutions in real-world applications.
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