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Projection Matrices, Generalized Inverse Matrices, and Singular Value Decomposition - Statistics for Social and Behavioral Sciences 2011 edition
Haruo Yanai
Projection Matrices, Generalized Inverse Matrices, and Singular Value Decomposition - Statistics for Social and Behavioral Sciences 2011 edition
Haruo Yanai
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.
236 pages, 3 black & white tables, biography
Media | Books Hardcover Book (Book with hard spine and cover) |
Released | April 12, 2011 |
ISBN13 | 9781441998866 |
Publishers | Springer-Verlag New York Inc. |
Pages | 236 |
Dimensions | 155 × 235 × 15 mm · 539 g |
Language | English |