Abstract
Revised and updated, the third edition of Golub and Van Loan's classic text in computer science provides essential information about the mathematical background and algorithmic skills required for the production of numerical software. This new edition includes thoroughly revised chapters on matrix multiplication problems and parallel matrix computations, expanded treatment of CS decomposition, an updated overview of floating point arithmetic, a more accurate rendition of the modified Gram-Schmidt process, and new material devoted to GMRES, QMR, and other methods designed to handle the sparse unsymmetric linear system problem.
Cite
CITATION STYLE
Golub, G. H., & Loan, C. F. V. (1996). Matrix Computations (Johns Hopkins Studies in Mathematical Sciences)(3rd Edition). Linear Algebra and its Applications (Vol. 208–209, p. 728). Retrieved from http://www.amazon.ca/exec/obidos/redirect?tag=citeulike09-20&path=ASIN/0801854148
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.