By Raymond Chan, Chen Greif, Dianne O'Leary
The textual content provides and discusses the most influential papers in Matrix Computation authored through Gene H. Golub, one of many founding fathers of the sphere. the gathering of 21 papers in divided into 5 major parts: iterative tools for linear platforms, answer of least squares difficulties, matrix factorizations and purposes, orthogonal polynomials and quadrature, and eigenvalue difficulties an commentaries for every sector are supplied through top specialists: Anne Greenbaum, Ake Bjorkc, Nicholas Higham, Walter Gautschi, and G.W (Pete) Stewart. reviews on every one paper also are supplied through the unique authors, offering the reader with historic info on how the paper got here to be written and lower than what situations the collaboration was once undertaken. together with a short biography and facsimiles of the unique papers, this article will be of serious curiosity to scholars and researchers in numerical research and clinical computation.