Computational Complexity Theory
A greedy algorithm is a problem-solving technique that makes a series of choices, each of which looks best at the moment, with the hope that these local optimum choices will lead to a global optimum solution. This approach is often used for optimization problems, where finding an exact solution can be too complex or time-consuming. Greedy algorithms are particularly relevant in contexts where problems can be broken down into smaller subproblems, and they can provide approximate solutions quickly even if they may not always yield the best overall outcome.
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