Eigen::SkylineInplaceLU
template<typename MatrixType>
class Eigen::SkylineInplaceLU< MatrixType >
Inplace LU decomposition of a skyline matrix and associated features.
- Parameters
-
| MatrixType |
the type of the matrix of which we are computing the LU factorization |
SkylineInplaceLU()
template<typename MatrixType >
Creates a LU object and compute the respective factorization of matrix using flags flags.
compute()
template<typename MatrixType >
Computes/re-computes the LU factorization
Computes / recomputes the in place LU decomposition of the SkylineInplaceLU. using the default algorithm.
flags()
template<typename MatrixType >
- Returns
- the current flags
precision()
template<typename MatrixType >
setFlags()
template<typename MatrixType >
Sets the flags. Possible values are:
- CompleteFactorization
- IncompleteFactorization
- MemoryEfficient
- one of the ordering methods
- etc...
- See also
-
flags()
setPrecision()
template<typename MatrixType >
Sets the relative threshold value used to prune zero coefficients during the decomposition.
Setting a value greater than zero speeds up computation, and yields to an incomplete factorization with fewer non zero coefficients. Such approximate factors are especially useful to initialize an iterative solver.
Note that the exact meaning of this parameter might depends on the actual backend. Moreover, not all backends support this feature.
- See also
-
precision()
solve()
template<typename MatrixType >
template<typename BDerived , typename XDerived >
- Returns
- the lower triangular matrix L
- the upper triangular matrix U
Computes *x = U^-1 L^-1 b
If transpose is set to SvTranspose or SvAdjoint, the solution of the transposed/adjoint system is computed instead.
Not all backends implement the solution of the transposed or adjoint system.
succeeded()
template<typename MatrixType >
- Returns
- true if the factorization succeeded
The documentation for this class was generated from the following file: