Projection Matrices, Generalized Inverse Matrices, and Singular Value Decomposit
115,13 €
More specially, it shows that projection matrices (projectors) and g-inverse matrices can be defined in various ways so that a vector space is decomposed into a direct-sum of (disjoint) subspaces. This book is about projections and SVD.
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