'The numerical algorithms presented are written in pseudocode and
based on MATLAB, a programming and numeric computing platform
widely used in STEM fields. Thus, no formal training in computer
science or knowledge of any specific programming language is needed
to parse the algorithms. Summing up: Recommended.'CHOICEMany
students come to numerical linear algebra from science and
engineering seeking modern tools and an understanding of how the
tools work and their limitations. Often their backgrounds and
experience are extensive in applications of numerical methods but
limited in abstract mathematics and matrix theory. Often enough it
is limited to multivariable calculus, basic differential equations
and methods of applied mathematics. This book introduces modern
tools of numerical linear algebra based on this background, heavy
in applied analysis but light in matrix canonical forms and their
algebraic properties. Each topic is presented as algorithmic ideas
and through a foundation based on mostly applied analysis. By
picking a path through the book appropriate for the level, it has
been used for both senior level undergraduates and beginning
graduate classes with students from diverse fields and backgrounds.
General
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