A project headed by the SEI’s Scott McMillan took a step in 2020 toward standardizing graph algorithm application development in C++. The GraphBLAS, Basic Linear Algebra Subprograms for Graphs, is a ...

Spectral clustering is an unsupervised learning technique that identifies clusters in data by analyzing the eigenstructure of a similarity matrix. Unlike traditional clustering algorithms that use ...

Abstract: The formulation of algorithms from sparse linear algebra is often based on suitable concepts from graph theory. However, conversely, the formulation of algorithms from graph theory is rarely ...

Abstract: GraphBLAS is a new package designed to provide a standard set of building blocks for graph algorithms based formally in the language of linear algebra. This paper suggests some extensions of ...

Welcome to the "Linear_Algebra" repository from TripleTen! Here you will find a treasure trove of resources related to linear algebra, including matrix operations, vector operations, linear regression ...

Linear algebra is essential for understanding core data science concepts like machine learning, neural networks, and data transformations. Different books cater to various needs. Some focus on ...

A linear equation is drawn as a straight line on a set of axes. To draw the graph we need coordinates. We generate these coordinates by substituting values into the ...

Algebras of Jordan type η are a new interesting class of commutative non-associative algebras arising within the paradigm of axial algebras. After reviewing the general definitions, relation to groups ...

Microsoft is adding a graphing mode to the Windows 10 calculator. The company made the calculator open-sourced on GitHub earlier this month and has received over thirty suggestions from contributors ...