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Linear Algebra and Matrix Analysis for Statistics.
Matrices, Vectors, and Their OperationsBasic definitions and notations Matrix addition and scalar-matrix multiplication Matrix multiplication Partitioned matricesThe ""trace"" of a square matrix Some special matricesSystems of Linear EquationsIntroduction Gaussian elimination Gau...
| Clasificación: | Libro Electrónico |
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| Autor principal: | |
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Hoboken :
CRC Press,
2014.
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| Colección: | Chapman & Hall/CRC Texts in Statistical Science.
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| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
Tabla de Contenidos:
- Front Cover; Contents; Preface; CHAPTER 1: Matrices, Vectors and Their Operations; CHAPTER 2: Systems of Linear Equations; CHAPTER 3: More on Linear Equations; CHAPTER 4: Euclidean Spaces; CHAPTER 5: The Rank of a Matrix; CHAPTER 6: Complementary Subspaces; CHAPTER 7: Orthogonality, Orthogonal Subspaces and Projections; CHAPTER 8: More on Orthogonality; CHAPTER 9: Revisiting Linear Equations; CHAPTER 10: Determinants; CHAPTER 11: Eigenvalues and Eigenvectors; CHAPTER 12: Singular Value and Jordan Decompositions; CHAPTER 13: Quadratic Forms.
- CHAPTER 14: The Kronecker Product and Related OperationsCHAPTER 15: Linear Iterative Systems, Norms and Convergence; CHAPTER 16: Abstract Linear Algebra; References; Back Cover.