Computational Geometry
Hybrid approaches combine different methods or techniques to leverage their strengths and improve efficiency or accuracy in solving complex problems. By integrating various algorithms or data structures, these approaches can adapt to diverse scenarios and optimize performance, particularly in areas that involve spatial data or geometric computations.
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