A theory on M-matrices is derived from simple results on inverse-positive linear operators. Some applications to eigenvalue theory and iterative procedures are discussed. The concepts occurring in ...

Matrix multiplication is at the heart of many machine learning breakthroughs, and it just got faster—twice. Last week, DeepMind announced it discovered a more efficient way to perform matrix ...

Introduces linear algebra and matrices with an emphasis on applications, including methods to solve systems of linear algebraic and linear ordinary differential equations. Discusses vector space ...