Matrix Mathematics: A Second Course in Linear Algebra Stephan Ramon Garcia and Roger A. Horn are an English-language study book intended for advanced students in mathematics, data science, and the natural sciences. This textbook offers a modern matrix-based approach to linear algebra and covers in depth both theory and practical applications.
The book includes comprehensive topics such as singular value decomposition, Jordan canonical form, QR factorization, and positive matrix properties. More than 900 exercises and 350 examples support understanding. New chapters focus on matrix norms and positive matrices, with additional attention to interpolation and LU factorization.
The clear structure with concise chapters and well-organized concept overviews makes it suitable as a second course in linear algebra, following foundational knowledge in linear algebra and calculus. Instructors will find useful supplementary materials available.
The content aligns with courses such as algebra and general mathematics and is part of the Cambridge Mathematical Textbooks collection.