Approximation algorithms handle NP-hardness
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Approximation algorithms handle NP-hardness
Approximation algorithms are techniques designed to tackle NP-hard problems. Instead of guaranteeing exact solutions, they produce answers that are close to optimal. Classic examples include problems like vertex cover and set cover. These algorithms are vital when exact computations are too slow or impossible to achieve...............# ...
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