Abstract: This research work introduces a clustering-based in-place sorting algorithm, cluster sort. It is designed in such a way that it improves sorting efficiency by using data locality. It works ...

Abstract: Large organizations often deploy isomorphic business subsystems across regions to facilitate uniform business control and expansion. These independent subsystems, which share identical data ...

The original version of this story appeared in Quanta Magazine. If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle ...

Some algorithms are more efficient than others. We would prefer to chose an efficient algorithm, so it would be nice to have metrics for comparing algorithm efficiency. The complexity of an algorithm ...

If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle the easiest pieces first. But this kind of sorting has a cost.

This document explains and verifies the design goals for an efficient, generic and robust stable sort implementation called driftsort by Orson Peters and Lukas Bergdoll (source code). TL;DR: driftsort ...