Linear functions are fundamental building blocks in mathematics and play a key role in solving real-world problems where the rate of change remains constant. Linear functions arise in a wide range 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 ...

Sketch 'n Solve is a Python library that implements basic randomized numerical linear algebra (RandNLA) techniques for solving large-scale linear algebra problems. The library is designed to be ...

Graph skills are crucial for problem solving and working with data. So plot your course to success by practicing these skills. Explore our e-library for topics in Foundations Maths. From Coordinates, ...

Plotting a graph takes time. Often mathematicians just want to know the key features. These are: shape, location and some key points (such as where the graph crosses the axes or turning points).

Abstract: In recent years, a variety of randomized constructions of sketching matrices have been devised, that have been used in fast algorithms for numerical linear algebra problems, such as least ...

Plotting a graph takes time. Often mathematicians just want to know the key features. These are: shape, location and some key points (such as where the graph crosses the axes or turning points).

Abstract: Sampling of bandlimited graph signals has well-documented merits for dimensionality reduction, affordable storage, and online processing of streaming ...

A matching M of a graph is a subset of edges with the property that no two edges of M share a common vertex. A matching is called induced if the subgraph of G induced by M consists of exactly M itself ...

The emergence of deep learning has not only brought great changes in the field of image recognition, but also achieved excellent node classification performance in graph neural networks. However, the ...