Cristani, C. and Tessera, D. (2026) A Foundational Protocol for Reproducible Visualization in Multivariate Quantum Data. Open Access Library Journal, 13, 1-13. doi: 10.4236/oalib.1114704 .

Ahead of Valentine’s Day, Robinson unveiled a new set of equations that translate romantic phrases and symbols into mathematics. To create them, he drew on disciplines ranging from trigonometry and ...

Algebra is a core part of mathematics that develops critical thinking and problem‑solving skills. Among its many topics, ...

Delhi’s average winter air quality graph over the past 10 years is not linear. But when all factors are taken into account, ...

The National Testing Agency (NTA) will soon be commencing the registration process National Eligibility cum Entrance Test ...

Cognizant’s BPO business is expected to grow for decades despite the rise of AI because of need to modernize legacy processes and operations, Kumar said.

Like many of us, [Tim]’s seen online videos of circuit sculptures containing illuminated LED filaments. Unlike most of us, however, he went a step further by using graph theory to design glowing ...

Abstract: High-dimensional and incomplete (HDI) data are frequently encountered in diverse real-world applications involving complex interactions among numerous nodes. Approaches based on latent ...

Understanding a linear function graph is fundamental to grasping core mathematical concepts and their real-world applications. By analyzing the visual representation of a linear equation, we can ...

A linear function is a mathematical function whose graph is a straight line. It can be represented in several forms, the most common being the slope-intercept form: To effectively analyze the graph of ...

Linear functions are used to model a broad range of real-world problems. The ability to solve linear equations and inequalities is an essential skill for analysing these models. This section covers ...

Abstract: Graph signals are signals with an irregular structure that can be described by a graph. Graph neural networks (GNNs) are information processing architectures tailored to these graph signals ...