Japanese mathematician Masaki Kashiwara wins Abel Prize for contributions to algebraic analysis and representation theory at ...

If the mention of algebra conjures bad memories of math classes, a Python library called SymPy could change your mind about ...

Alexander Grothendieck was a titan in his field, making deep connections that fuelled a revolution in mathematics, before ...

Abstract: This paper develops several new dynamical designs, based on the gradient neural network (GNN), from the perspective of control theory to solve the time-varying Sylvester equation (TVSE). We ...

A canonical problem in computer science is to find the shortest route to every point in a network. A new approach beats the ...

Abstract: Riccati matrix equation (RME), a critical nonlinear matrix equation in autonomous driving and deep learning. However, memory-compute separation in traditional solving systems leads to ...

Strong spatial skills are critical for everyday tasks and across many careers—they also strengthen students’ math performance ...

Learn what residual standard deviation is, how to calculate it in regression analysis, and why it's crucial for measuring predictability and goodness-of-fit in data modeling.

This study aimed to evaluate diurnal and seasonal trends in aerodynamic conductance over a grassland surface. A simple ...

Pass the FE exam using proven study tips, diagnostic tools, and prep strategies. Get insights from real students and build a smart plan.

Turning dazzling AI capabilities into durable software applications poses fresh new challenges, but the keys to overcoming ...

Turning dazzling AI capabilities into durable software applications poses flashy new challenges, but the keys to overcoming them are basic and boring.