The divide-and-conquer approach is a fundamental algorithm design paradigm that breaks a problem into smaller subproblems, solves each subproblem independently, and combines their solutions to form the solution to the original problem. This technique is particularly effective for problems with a recursive structure and often leads to more efficient algorithms by reducing the overall complexity. In computational geometry, this method is crucial for efficiently constructing structures like Voronoi diagrams and Delaunay triangulations.
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