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 ...
Artificial intelligence (AI) systems, particularly artificial neural networks, have proved to be highly promising tools for ...
Physics can feel inscrutable to students; this lesson helps them understand a graphing problem by analyzing their own ...
Improved Modeling and Generalization Capabilities of Graph Neural Networks With Legendre Polynomials
Abstract: LegendreNet is a novel graph neural network (GNNs) model that addresses stability issues present in traditional GNN models such as ChebNet, while also more effectively capturing higher-order ...
Uses data from multiple countries and polynomial regression algrothims to predict carbon emmisions in 2050. Also creates a 3D graph to vizualize the last 20 years of Canada's GDP, and Canda's Carbon ...
Through a Summer Undergraduate Research Fellowship, Jenny Quan is exploring the mathematical principles behind Rubik's cubes.
Abstract: The concepts of Kronecker maps and Sylvester-polynomial matrix equations are proposed. Some properties of the Kronecker maps are deduced. It is shown that many kinds of matrix equations can ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback