Abstract: This paper aims at introducing a new sorting algorithm which sorts the elements of an array In Place. This algorithm has O(n) best case Time Complexity and O(n log n) average and worst case ...

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 ...

ProgPoW is a proof-of-work algorithm designed to close the efficiency gap available to specialized ASICs. It utilizes almost all parts of commodity hardware (GPUs), and comes pre-tuned for the most ...

Abstract: Arrangement of elements in a dataset often forms a crucial aspect in determining the overall performance of the underlying algorithms. Elements arranged in sorted order, either ascending or ...

Due to their simplicity of implementation and compliance with the encryption issue, chaotic models are often utilized in picture encryption applications. Despite having many benefits, this approach ...

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 ...

Follow Patrick Dykstra in his quest to connect with and understand the hidden nature of the sperm whale, shining a light on their intelligence and complexity, as well as their relationship with ...

Software development is a process that demands not only proficiency in various coding languages but also an understanding of specific theoretical principles that can drastically affect a program’s ...

Machine learning and deep learning have been widely embraced, and even more widely misunderstood. In this article, I’ll step back and explain both machine learning and deep learning in basic terms, ...

Linear time complexity, denoted as O(n), refers to algorithms whose execution time increases linearly with the size of the input. That is, if the input size doubles, the algorithm execution time also ...