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An approximation algorithm is an algorithm that finds an approximate solution to a (typically NP-hard) problem. The quality of the algorithm is measured by how close to the actual optimum it performs. For example, it is a constant factor approximation algorithm if it always outputs a solution that is within a constant factor of the optimum. Hardness of approximation is one way to separate NP-hard problems.

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Im looking for an algorithm that can solve or approximate the solution to a problem

Let me first explain the problem using an analogy. Let's say you have $N$ doors and $M$ keys. Each door can be opened with a combination of keys, each combination is also unique (i.e. there aren't be …