Matrix Decompositions: Linpack and Beyond
Charles F. Van Loan, Misha E. Kilmer, Dianne Prost O’Leary · Birkhäuser Boston eBooks · 2010
Stewart’s thesis advisor Alston Householder was a strong and effective advocate for using factorizations in explaining and in solving matrix problems [73]. Stewart adopted a similar viewpoint in his expository work; see [GWS-B1,GWS-B3], etc. Through his research, Stewart brought new theoretical insights into matrix factorizations and worked on definitive software implementations of factorization algorithms. In this chapter we focus on some of his key contributions to LU, QR, Cholesky, and singular value decompositions (SVD). Additional contributions to eigendecompositions, SVD, and updating of factorizations will be discussed in later chapters. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.