Optimized Sequence Sorting via Longest Increasing Subsequence Identification

Sorting sequences of integers is a fundamental problem in computer science with applications in various domains. Existing sorting algorithms typically achieve time complexities of O(n log n), where n is the length of the sequence. In this paper, we propose a novel approach to sequence sorting that leverages the identification of the longest increasing subsequence (LIS). The proposed algorithm efficiently identifies the LIS and incorporates it into the sorting algorithm to achieve better performance. The empirical evaluation on various data sets demonstrates the effectiveness of the proposed algorithm.

کلیدواژه ها:

Longest increasing subsequence ، sorting algorithms ، time complexity ، space complexity