Abstract: We address in this paper the design and analysis of cost-optimal parallel algorithms for solving the problem of the longest common subsequence. Starting from the standard sequential dynamic ...

problem using dynamic programming, we create a 2D table that stores the lengths of the longest common subsequences for different parts of the two input sequences. Below is a Python example that ...

Abstract: The longest common subsequence (LCS ... In this paper, we present a parallel LCS algorithm using the GPU-based OpenACC model, which is based on the existing dynamic approach and parallel ...

All Algorithms implemented in Python. Contribute to LynKazuto/Python_algorithm development by creating an account on GitHub.

Dynamic programming algorithms are a good ... score that reflects how similar the two sequences are (that is, how likely they are to be derived from a common ancestor). Because sequences differ ...