Dynamic Programming21 sections · 916 units
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Complexity Analysis - Walkthrough

Understanding the efficiency

Each element adds O(1)O(1) breakpoints (sometimes 22). Total breakpoints: O(n)O(n). Each heap operation (insert, pop) is O(logn)O(\log n).

Each element does O(1)O(1) operations. Total time: O(nlogn)O(n \log n). Space: O(n)O(n) for the heaps. Compare to naive: O(nrange)O(n \cdot \text{range}) where range is the value domain. Slope Trick ignores the range. The observation: each element adds at most two breakpoints. Total breakpoints stay O(n)O(n) throughout.