Format: Paperback

Language: 1

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Size: 7.20 MB

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Pages: 632

Publisher: American Mathematical Society (July 13, 2011)

ISBN: 082185285X

Multiparameter Eigenvalue Problems and Expansion Theorems (Lecture Notes in Mathematics)

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*download*. A square matrix A that is equal to its transpose, i.e., A = AT, is a symmetric matrix. If instead, A was equal to the negative of its transpose, i.e., A = −AT, then A is a skew-symmetric matrix

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**MST121 Using Mathematics. Chapter B2. Modelling with Matrices**

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__Hadamard Transforms (SPIE Press Monograph Vol. PM207)__

Matrices: Pure and Applied (Contemporary Mathematics)

__Introduction to Large Truncated Toeplitz Matrices (Universitext)__

Matrix Theory: Basic Results and Techniques (Universitext)

__Applications of Matrix Differential Calculus to Multivariate Modeling: A Computational Approach__

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The food of the Matrixes and Determinants 1: Mathematics is your food

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__Multiparameter Eigenvalue Problems and Expansion Theorems (Lecture Notes in Mathematics)__

__Lie Groups, Lie Algebras, and Representations: An Elementary Introduction__

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