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 ...

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: We present a novel way to produce dense linear algebra factorization algorithms. The current state-of-the-art (SOA) dense linear algebra algorithms have a performance inefficiency, and thus ...

This course focuses on numerical methods in scientific computing, with a particular emphasis on linear algebra operations such as matrix decompositions, solving systems of equations, and eigenvalue ...

This program implements the Gaussian Elimination algorithm, a fundamental method in linear algebra for solving systems of linear equations, determining matrix inverses, and calculating determinants.

Quantum computers can do wondrous things: too bad they do not exist yet. That has not stopped physicists from devising new algorithms for the devices, which can calculate a lot faster than ordinary ...