Find out why the most popular mathematical subjects in engineering in 2026 are calculus and linear algebra. Discover how ...
Tessellations aren’t just eye-catching patterns—they can be used to crack complex mathematical problems. By repeatedly ...
“I was curious to establish a baseline for when LLMs are effectively able to solve open math problems compared to where they ...
Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential ...
Abstract: In the modern era, data of diverse types (medical, financial, etc.) are outsourced from data owner environments to the public domains for data mining and knowledge discovery purposes.
Abstract: In this paper, we propose a new selection operator (based on a maximin scheme and a clustering technique), which is incorporated into a differential evolution algorithm to solve ...
The paper introduces DeepTX, a valuable deep-learning framework linking stochastic, mechanistic modelling with single-cell RNA sequencing data to investigate transcriptional burst kinetics on a genome ...
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