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Vectorization (Mathematics)
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Omniscriptum Mär 2026, 2026
ISBN 10: 6131136971
ISBN 13: 9786131136979
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -High Quality Content by WIKIPEDIA articles! In mathematics, especially in linear algebra and matrix theory, the vectorization of a matrix is a linear transformation which converts the matrix into a column vector. For a symmetric matrix A, the vector vec(A) contains more information than is strictly necessary, since the matrix is completely determined by the symmetry together with the lower triangular portion, that is, the n(n+1)/2 entries on and below the main diagonal. For such matrices, the half-vectorization is sometimes more useful than the vectorization. There exist unique matrices transforming the half-vectorization of a matrix to its vectorization and vice-versa called, respectively, the duplication matrix and the elimination matrix. 100 pp. Englisch. Nº de ref. del artículo: 9786131136979
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Vectorization (Mathematics) : Mathematics, Linear Algebra, Matrix Theory, Linear Transformation, Matrix (Mathematics)
Impresión bajo demandaLibrería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - High Quality Content by WIKIPEDIA articles! In mathematics, especially in linear algebra and matrix theory, the vectorization of a matrix is a linear transformation which converts the matrix into a column vector. For a symmetric matrix A, the vector vec(A) contains more information than is strictly necessary, since the matrix is completely determined by the symmetry together with the lower triangular portion, that is, the n(n+1)/2 entries on and below the main diagonal. For such matrices, the half-vectorization is sometimes more useful than the vectorization. There exist unique matrices transforming the half-vectorization of a matrix to its vectorization and vice-versa called, respectively, the duplication matrix and the elimination matrix. Nº de ref. del artículo: 9786131136979
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Vectorization (Mathematics) | Mathematics, Linear Algebra, Matrix Theory, Linear Transformation, Matrix (Mathematics)
Impresión bajo demandaLibrería: preigu, Osnabrück, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. Vectorization (Mathematics) | Mathematics, Linear Algebra, Matrix Theory, Linear Transformation, Matrix (Mathematics) | Lambert M. Surhone (u. a.) | Taschenbuch | Englisch | 2026 | OmniScriptum | EAN 9786131136979 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand. Nº de ref. del artículo: 113276503
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Vectorization (Mathematics)
Publicado por
Omniscriptum Mär 2026, 2026
ISBN 10: 6131136971
ISBN 13: 9786131136979
Nuevo
Taschenbuch
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Please note that the content of this book primarily consists of articlesavailable from Wikipedia or other free sources online. In mathematicsespecially in linear algebra and matrix theory, the vectorization of amatrix is a linear transformation which converts the matrix into acolumn vector. For a symmetric matrix A, the vector vec(A) contains moreinformation than is strictly necessary, since the matrix is completelydetermined by the symmetry together with the lower triangular portionthat is, the n(n+1)/2 entries on and below the main diagonal. For suchmatrices, the half-vectorization is sometimes more useful than thevectorization. There exist unique matrices transforming thehalf-vectorization of a matrix to its vectorization and vice-versacalled, respectively, the duplication matrix and the elimination matrix.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 100 pp. Englisch. Nº de ref. del artículo: 9786131136979
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