Min Cost to Connect All Points
Given points array where points[i] = [x, y] Cost = Manhattan distance |x1-x2| + |y1-y2| Return minimum cost to connect all points Example: [[0,0],[2,2],[3,10],[5,2],[7,0]] => 20
Min Cost to Connect All Points is about always pulling the next best option efficiently as the data changes. Interviewers love it because it reveals your priority-based reasoning and your edge-case discipline. If your heap represents best candidates right now, the rest falls into place.
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