This text is intended as a one or two semester sophomore level course in linear algebra. It is designed to provide a balance of applications, theory and computation, and to emphasize their interdependence.

This new book offers a fresh approach to matrix and linear algebra by providing a balanced blend of applications, theory, and computation, while highlighting their interdependence. Intended for a one-semester course, Applied Linear Algebra and Matrix Analysis places special emphasis on linear algebra as an experimental science, with numerous examples, computer exercises, and projects. While the flavor is heavily computational and experimental, the text is independent of specific hardware or software platforms. Throughout the book, significant motivating examples are woven into the text, and each section ends with a set of exercises.

Zusammenfassung
From the reviews:

"The book under review is a nice blend of three independent components of linear algebra: Theory, computation and applications. ... The book is consisting of the author preface, six chapters, table of symbols, solutions to selected exercises, a bibliography containing 13 references and subject index. ... The book is very useful for undergraduate students and nonspecialists." (Mohammad Sal Moslehian, Zentralblatt MATH, Vol. 1128 (6), 2008)

"This book is intended for a one or two semester course, with emphasis on linear algebra as an experimental science. ... The text is written in a nice conversational style. Proofs are provided for most results ... . The author also provides many computer exercises, projects, and report topics ... . Instructors wanting to encourage precision in mathematical writing will find these assignments helpful. ... This is a good text for those who want to introduce their students to applied discrete mathematics ... ." (Henry Ricardo, The Mathematical Association of America, September, 2008)

Inhalt

Linear Systems Of Equations.- Matrix Algebra.- Vector Spaces.- Geometrical Aspects Of Standard Spaces.- The Eigenvalue Problem.- Geometrical Aspects Of Abstract Spaces.