This balanced and comprehensive study presents the theory, methods and applications of matrix analysis in a new theoretical framework. The author also covers often neglected subjects, such as subspace analysis, projection analysis and tensor analysis, and even tackles the topical subject matter of gradient analysis and optimization.

The theory, methods and applications of matrix analysis are presented here in a novel theoretical framework.