Numerical Methods in Matrix Computations [Paperback]

Matrix algorithms are at the core of scientific computing and are indispensable tools in most applications in engineering. This book offers a comprehensive and up-to-date treatment of modern methods in matrix computation. It uses a unified approach to direct and iterative methods for linear systems, least squares and eigenvalue problems. A thorough analysis of the stability, accuracy, and complexity of the treated methods is given.

Numerical Methods in Matrix Computations is suitable for use in courses on scientific computing and applied technical areas at advanced undergraduate and graduate level. A large bibliography is provided, which includes both historical and review papers as well as recent research papers. This makes the book useful also as a reference and guide to further study and research work.

This book offers a comprehensive and up-to-date treatment of modern methods in matrix computation. It uses a unified approach to direct and iterative methods for linear systems, least squares and eigenvalue problems.?Direct Methods for Linear Systems.- Linear Least Squares Problems.- Matrix Eigenvalue Problems.- Iterative Methods.

NMMC contains, of course, all expected classical topics and results on matrix computations, but it also contains very recent material & . this is a very well written excellent book, which I strongly recommend to anybody interested in matrix computations and in computational mathematics in general. & should be very useful for a wide audience, ranging from graduate students to specialists in matrix computations, as well as researchers in other areas that use matrix computations. (Froil?n M. Dopico, SIAM Review, Vol. 58 (2), June, 2016)

This remarkable book aims at providing an up-to-date treatment of methods and algorithms within the context of matrix computations and really hits the target. & the interested reader can find a large, comprehensive and up-to-dlӻ