Introduction to Matrix Analysis
Detalles de publicación: United States of America : Mc Graw Hill, 1960Edición: 1raDescripción: 328 páginasISBN:- fcnm1475
- 515.6I/B38
Contenidos:
1.Maximization, minimization, and motivation. 2.Vectors and matrices. 3.Diagonilization and canonical forms for symmetric matrices. 4.Reduction of general symmetric matrices to digital form. 5.Constrained maxima. 6.Functions of matrices. 7.Variational description of characteristics roots. 8.Inequalities. 9.Dynamic programming. 10.Matrices and differential equations. 11.Explicit solutions and canical forms. 12.Symmetric functions, kronecker products and circulants. 13.Stability theory. 14.Markoff matrices and probability theory. 15.Stochastic matrices. 16.Positive matrices, perron’s theorem and mathematical economics.
| Tipo de ítem | Biblioteca actual | Signatura topográfica | Estado | Notas | Código de barras | |
|---|---|---|---|---|---|---|
| Libro | Biblioteca Especializada FCNM Tercer Piso | 515.6I/B38 (Navegar estantería(Abre debajo)) | Disponible | Externo | FCNM2508 |
1.Maximization, minimization, and motivation. 2.Vectors and matrices. 3.Diagonilization and canonical forms for symmetric matrices. 4.Reduction of general symmetric matrices to digital form. 5.Constrained maxima. 6.Functions of matrices. 7.Variational description of characteristics roots. 8.Inequalities. 9.Dynamic programming. 10.Matrices and differential equations. 11.Explicit solutions and canical forms. 12.Symmetric functions, kronecker products and circulants. 13.Stability theory. 14.Markoff matrices and probability theory. 15.Stochastic matrices. 16.Positive matrices, perron’s theorem and mathematical economics.
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