Sorting Algorithms with Restrictions

TL;DR

This paper explores how sorting algorithms adapt to new computational environments and data stream scenarios, extending traditional models to address modern processing challenges.

Contribution

It introduces generalized sorting models considering new processor architectures and data stream contexts, expanding the theoretical framework of sorting algorithms.

Findings

New models for sorting in data streams

Analysis of sorting under modern processor constraints

Extensions of classical sorting algorithms to new environments

Abstract

Sorting is one of the most used and well investigated algorithmic problem [1]. Traditional postulation supposes the sorting data archived, and the elementary operation as comparisons of two numbers. In a view of appearance of new processors and applied problems with data streams, sorting changed its face. This changes and generalizations are the subject of investigation in the research below.