This project explores string similarity and matching algorithms using dynamic programming. It includes calculating the edit distance between strings, as well as finding the longest common subsequence ...

Dynamic programming is essential for calculating the edit distance (Levenshtein distance) between 2 strings. This involves determining the minimum operations (insertions, deletions, substitutions ...

Edit distance has applications, for example, in computational biology, natural language processing, and spell checking. Your goal in this problem is to compute the edit distance between two strings.

In this paper, we will develop a systematic approach to deriving guaranteed bounds for approximate dynamic programming (ADP) schemes in optimal control problems. Our approach is inspired by our recent ...

Traditional string stable controllers are usually based on the accurate knowledge of vehicle model, which is hard to implement in practice. In this paper, we have proposed a novel data-driven control ...