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This Python code implements a sparse...
This Python code implements a sparse convex hull approximation algorithm. The algorithm uses a greedy approach to initially select a subset of points from a given set to approximate the convex hull. Once the target number of points is reached, it further refines the selection by iteratively adding and removing points to enhance the quality of the convex hull approximation. 1from scipy.optimize import linprog
2import numpy as np
3from scipy.spatial import ConvexHull
4import matplotlib.pyplot as plt
5
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