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 ...
Abstract: Physics-Informed Neural Networks (PINNs) have recently emerged as a powerful method for solving differential equations by leveraging machine learning techniques. However, while neural ...
Abstract: This study explores fractional differential equations using fractional calculus techniques, extending the traditional Frobenius method with approaches like the ZZ transform and binomial ...
Neuromorphic computers, inspired by the architecture of the human brain, are proving surprisingly adept at solving complex ...
Marcus du Sautoy uses combinations of peaches and plums and a set of scales, to show how simultaneous equations can be solved. This method didn’t appear in the West until the 19th century, but had ...
“I was curious to establish a baseline for when LLMs are effectively able to solve open math problems compared to where they ...
Final project @ Numerical Linear Algebra (数值代数) at Peking University. Consider the Stokes equations: $$-\Delta \vec{u} + \nabla p = \vec{F}, (x, y) \in (0,1 ...
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