The aim of this book is to concisely present fundamental ideas, results, and techniques in linear algebra and mainly matrix theory. The book contains ten chapters covering various topics ranging from similarity and special types of matrices to Schur complements and matrix normality. This revised and expanded second edition includes two new chapters, and expansion on topics such as matrix functions, nonnegative matrices, and unitarily invariant matrix norms. This book can be used as a textbook or a supplement for a linear ...
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The aim of this book is to concisely present fundamental ideas, results, and techniques in linear algebra and mainly matrix theory. The book contains ten chapters covering various topics ranging from similarity and special types of matrices to Schur complements and matrix normality. This revised and expanded second edition includes two new chapters, and expansion on topics such as matrix functions, nonnegative matrices, and unitarily invariant matrix norms. This book can be used as a textbook or a supplement for a linear algebra and matrix theory class or a seminar for senior undergraduate or graduate students. The book can also serve as a reference for instructors and researchers in the fields of algebra, matrix analysis, operator theory, statistics, computer science, engineering, operations research, economics, and other fields.
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