AI makes the first 80% of development feel fast, but hides architectural complexity until it's too late. To prevent system ...

The Best Calculators for Engineering Students As an engineering student, you’ll soon realize that a reliable calculator isn’t ...

These are my go-to libraries for Python data crunching.

Magnetic graph matrices are powerful tools for modeling quantum systems and directed networks, but their application in network analysis has been limited by a lack of combinatorial understanding. We ...

MATLAB-SIMULINK files in the book: M. H. Trinh, H.-S. Ahn, "Matrix-weighted graphs: Theory and Applications," Lectures Notes on Control and Information Sciences, Springer - Cham, 2025 ...

The spectral characteristics of graphs and matrices form a central pillar of modern mathematical physics and network theory. At its core, the adjacency matrix of a graph encodes connectivity by ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Different molecular representations exist to provide visual and mathematical means to ...

In-context learning (ICL) enables LLMs to adapt to new tasks by including a few examples directly in the input without updating their parameters. However, selecting appropriate in-context examples ...

When dealing with stochastic processes on graphs, two elements can render the estimation of observables computationally hard: first, the presence of reweighting terms that bias the probability measure ...