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The Divide-and-Conquer approach is a powerful algorithmic technique essential for solving complex problems by breaking them into simpler subproblems. This methodology involves three phases: dividing the problem into smaller parts, conquering each subproblem individually, and combining the results to produce the final solution. Common applications include sorting algorithms like Merge Sort and Quick Sort, as well as computations such as Fast Fourier Transform. Understanding this approach enhances algorithm efficiency and underpins many advanced computational theories.
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1. 1 Divide-and-Conquer Approach