Abstract: Matrix computation is ubiquitous in modern scientific and engineering fields. Due to the high computational complexity in conventional digital computers, matrix computation represents a ...

Meta.Numerics is library for advanced numerical computing on the .NET platform. It offers an object-oriented API for statistical analysis, advanced functions, Fourier transforms, numerical integration ...

The iQRM Warm-Ups are short, half hour sessions that review the basics covered in iQRM. This is a tour of the foundational math without application. The seminar covers probability, the normal ...

THE first volume of this standard work, published in 1940 in a revised and rewritten form, covered the algebra prescribed chiefly for the intermediate examinations of the University of London. The ...

IN these 596 pages we have a treatise based on the “Algebra” of Prof. Radhakrishnan. The reason for this is that the latter book is known to be the result of a careful study of the best English ...

- can solve systems of linear equations in matrix form using Gaussian elimination The link leads to Completion methods tab of the course page From the top of the page (Version drop-down menu), check ...

In the past few decades, multi-linear algebra also known as tensor algebra has been adapted and employed as a tool for various engineering applications. Recent developments in tensor algebra have ...

Randomised and deterministic matrix-free methods for trace estimation, functions of matrices, and matrix factorisations. Matfree builds on JAX. Thank you for using Matfree! A dedicated paper about ...

ABSTRACT: In recent years, there are many surrogates for tensor tubal rank. In this paper, we propose a hybrid norm consisting of the weighted nuclear norm and the weighted Frobenius norm (WTNFN) of a ...