Sorting and searching algorithms help computer systems organize data and find information quickly. Methods like Quick Sort and Binary Search improve speed, while new AI research continues to make data ...

The previous 'Quick Sort' was a 'speed-oriented' method that set a pivot and threw elements to the left or right. In contrast, the 'Merge Sort' introduced this time is an algorithm characterized by 'a ...

There is a new sorting algorithm a deterministic O(m log2/3 n)-time algorithm for single-source shortest paths (SSSP) on directed graphs with real non-negative edge weights in the comparison-addition ...

Abstract: Traditional merge sort algorithms exhibit performance limitations on contemporary hardware architectures due to significant memory overhead and suboptimal use of parallel computing ...

Parallel sorting algorithm optimization represents a critical area of research aimed at accelerating the arrangement of large data sets by exploiting modern multi-core and many-core architectures. By ...

Merge sort is entirely different than the sorting algorithms we’ve seen so far, and it represents an important class of algorithms—divide-and-conquer algorithms. Divide-and-conquer algorithms work by ...

This study explores the application of parallel algorithms to enhance large-scale sorting, focusing on the QuickSort method. Implemented in both sequential and parallel forms, the paper provides a ...

School of Computer Science and Technology, Shanghai University of Electric Power, Shanghai, China. Counting sort is a linear time complexity sorting algorithm, first proposed by Harold H. Seward in ...