Quadrilateral Inequality Optimization in Dynamic Programming
Quadrilateral inequality optimization represents a powerful technique for optimizing certain types of dynamic programming solutions, particularly thoce involving 2D1D state transitions.
The fundamental form of such DP equations is:
[f_{l,r}=\min_{k=l}^{r-1}{f_{l,k}+f_{k+1,r}}+w(l,r) ]
When the function w(l,r) satisfies specific properties, we c ...
Posted on Sun, 11 Oct 2026 16:31:44 +0000 by ofirf96