Numerical linear algebra now plays a central role in numerical analysis, applied mathematics, and scientific computing generally, say Brezinski, Meurant, and Redivo-Zaglia, but they are mainly interested in the history of matrix computations, that is, algorithms to solve linear systems of algebraic equations and to compute eigenvalues and eigenvectors of matrices. They believe that the development of the methods and algorithms to solve these problems has been intimately linked to the development of the computing tools that were available through the ages, and so also provide a brief history of computing machines from the abacus to the supercomputer. Annotation ©2022 Ringgold, Inc., Portland, OR (protoview.com)
