convex hull optimization dynamic programming

Optimization is the science of making a best choice in the face of conflicting requirements. tutorial We keep the lines in a vector. Convex and affine hulls. Polytope software by Komei Fukuda. Enumeration of partitions. After discarding all such unnecessary lines, you can maintain the lines with decresing slope and the x-co-ordinate of its point of intersection with its previous line. Although it seems to be related to the Convex Hull Algorithm from its name, but it’s not. In these type of problems, the recursive relation between the states is as follows: dpi = min (bj*ai + dpj),where j ∈ [1,i-1] bi > bj,∀ i

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