Abstract: Discrete time-variant equation systems represent a typical and complex problem across various disciplines. With the increasing complexity of systems in various fields, traditional methods ...

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 ...

Credit card issuers first assign the account numbers and then compute steps one through three of the Luhn algorithm to determine the appropriate check digit. In this case, the card number should have ...

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.

There was an error while loading. Please reload this page. A Python-based sorting algorithm visualizer built with Tkinter and Matplotlib to help users visualize how ...

The Princeton University Board of Trustees has approved the appointment of 14 faculty members, including one full professor and 13 assistant professors. A. Carla Staver, in ecology and evolutionary ...

Recommendation algorithms operated by social media giants TikTok and X have shown evidence of substantial far-right political bias in Germany ahead of a federal election that takes place Sunday, ...

The mathematics behind artificial intelligence (AI) and machine learning (ML) rely on linear algebra, calculus, probability, and statistics. These provide the foundation for developing the needed ...

Penn State Institute for Computational and Data Sciences co-hire and professor of mathematics in the Eberly College of Science and meteorology John Harlim uses his experience in applied mathematics ...

In 2021, an Austin-based real estate finfluencer named Monte Lee-Wen made what was likely the quickest $50 million of his career selling the “Chronos portfolio,” a group of five working-class ...

Abstract: Radar signal sorting is a crucial step in radar signal processing, and its accuracy directly affects the progress of electronic warfare. Numerous machine learning algorithms, such as K-Means ...