Jarvis March is an efficient algorithm used to compute the convex hull of a set of points in a two-dimensional plane. It constructs the convex hull by iteratively selecting the outermost points, effectively 'marching' around the boundary of the point set. This method is significant for various geometric applications, including shape analysis, computer graphics, and collision detection.
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