Matrix algorithms are at the core of scientific computing and are indispensable tools in most applications in engineering. This book offers a comprehensive and

The method of least squares was discovered by Gauss in 1795. It has since become the principal tool to reduce the influence of errors when fitting models to giv

This new book from the authors of the classic book Numerical methods addresses the increasingly important role of numerical methods in science and engineering.

Matrix analysis presented in the context of numerical computation at a basic level.