Thinking Like a Mathematician
Approximation algorithms are strategies used to find near-optimal solutions to complex optimization problems when exact solutions are computationally expensive or infeasible. These algorithms aim to produce results that are close to the best possible outcome, often with a guaranteed performance ratio compared to the optimal solution. They are particularly valuable for problems where finding an exact solution is impractical due to constraints like time or resource limitations.
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