Optimal Binary Search Tree Dynamic Programming

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In this problem, we discuss the Optimal Binary Search Tree using dynamic programming. In this problem,

1. You are given two arrays -
The first array(keys), which is sorted and has distinct integers, represents search keys.
Second one(freq) represents frequency counts, where freq[i] is the number of searches to keys[i].
2. A binary search tree is constructed containing all keys and the total cost of searches is minimum.
3. The cost of a BST node is the level of that node multiplied by its frequency.
4. You have to find the minimum cost of all searches.

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