Dynamic Programming21 sections · 916 units
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Complexity Analysis

Why it's fast

Each element is pushed to the heap at most twice: once for itself, once for slope adjustment after popping. Each push and pop operation is O(logn)O(\log n). Total operations: O(n)O(n) pushes and O(n)O(n) pops in the worst case.

Time complexity: O(nlogn)O(n \log n). Space complexity: O(n)O(n) for the heap storing all breakpoints. Compare to naive DP: O(nV2)O(n \cdot V^2) with V=109V = 10^9 means 101810^{18} operations. Impossible. Slope Trick reduces this to O(nlogn)O(n \log n), making previously impossible problems solvable in milliseconds.