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Projection Matrices, Generalized Inverse Matrices, and Singular Value Decomposition

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This book focuses on projections and singular value decomposition (SVD), essential for multivariate analysis. It provides a comprehensive discussion of generalized inverse matrices and their relation to projections. The text explores these concepts through linear transformations in finite-dimensional vector spaces, benefiting researchers and students in various fields.

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Projection Matrices, Generalized Inverse Matrices, and Singular Value Decomposition, Haruo Yanai, Kei Takeuchi

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2013
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