Bioinformatics
Approximation algorithms are strategies designed to find solutions to optimization problems that are close to the best possible answer when finding the exact solution is too time-consuming or computationally expensive. These algorithms provide a way to achieve reasonable solutions within a guaranteed error margin, making them essential for dealing with complex problems where exact solutions are impractical.
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