Charles R. Johnson

Roger A. Horn

Building on the foundations of its predecessor volume, Matrix Analysis, this book treats in detail several topics in matrix theory not included in the previous volume, but with important applications and of special mathematical interest. As with the previous volume, the authors assume a background knowledge of elementary linear algebra and rudimentary analytical concepts. Many examples and exercises of varying difficulty are included.

Topics in Matrix Analysis

Stephan Ramon Garcia

A modern matrix-based approach to a rigorous second course in linear algebra for mathematics, data science, and physical science majors.

A Second Course in Linear Algebra

Matrix Mathematics

Roger A Horn

Linear algebra and matrix theory are fundamental tools in mathematical and physical science, as well as fertile fields for research. This second edition of this acclaimed text presents results of both classic and recent matrix analysis using canonical forms as a unifying theme and demonstrates their importance in a variety of applications. This thoroughly revised and updated second edition is a text for a second course on linear algebra and has more than 1,100 problems and exercises, new sections on the singular value and CS decompositions and the Weyr canonical form, expanded treatments of inverse problems and of block matrices, and much more.

Matrix Analysis

A second course in linear algebra for undergraduates in mathematics, computer science, physics, statistics, and the biological sciences.

Roger A. Horn

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