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Modules | |
| Cholesky module | |
This module provides two variants of the Cholesky decomposition for selfadjoint (hermitian) matrices. | |
| Core module | |
This is the main module of Eigen providing dense matrix and vector support (both fixed and dynamic size) with all the features corresponding to a BLAS library and much more... | |
| Flags | |
These are the possible bits which can be OR'ed to constitute the flags of a matrix or expression. | |
| Enumerations | |
Various enumerations used in Eigen. | |
| Global matrix typedefs | |
Eigen defines several typedef shortcuts for most common matrix and vector types. | |
| Global array typedefs | |
Eigen defines several typedef shortcuts for most common 1D and 2D array types. | |
| Eigenvalues module | |
This module mainly provides various eigenvalue solvers. | |
| Geometry module | |
This module provides support for: | |
| Householder module | |
This module provides Householder transformations. | |
| Jacobi module | |
This module provides Jacobi and Givens rotations. | |
| LU module | |
This module includes LU decomposition and related notions such as matrix inversion and determinant. | |
| QR module | |
This module provides various QR decompositions This module also provides some MatrixBase methods, including: | |
| Sparse module | |
See the Sparse tutorial. | |
| SVD module | |
This module provides SVD decomposition for (currently) real matrices. | |
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