Libraries | |
| Eigenvalues | |
| returns the eigenvalues after solving them | |
| Eigenvectors | |
| returns the eigenvectors after solving them | |
| MaxIterations | |
| returns m_maxIter | |
| Precision | |
| returns the current precision | |
| SetMaxIterations | |
| sets the max. number of allowed iterations in ARPACK | |
| SetPrecision | |
| sets the precision of ARPACK | |
| ~SparseArpack | |
| destructor | |
Libraries | |
Libraries | |
| LargestInternal | |
| internally used by Largest: | |
| ShiftInvertInternal | |
| internally used by ShiftInvert: | |
given a generalized symmetric eigen problem, this method computes the largest eigenvalues using a shift-inverse transformation.
| A | the input matrix A (stiffness) | |
| B | the input matrix B (mass) | |
| solver | the solver object used for factorizing B | |
| number | the number of eigenvalues to be computed |
given a standard symmetric eigen problem, this method computes the largest eigenvalues using a shift-inverse transformation.
| A | the input matrix | |
| number | the number of eigenvalues to be computed |
given a generalized symmetric eigen problem, this method computes the smallest eigenvalues using a shift-inverse transformation.
| A | the input matrix A (stiffness) | |
| B | the input matrix B (mass) | |
| solver | the solver object used for factorizing A | |
| shift | the shifting parameter (lower bound) | |
| number | the number of eigenvalues to be computed |
given a standard symmetric eigen problem, this method computes the smallest eigenvalues using a shift-inverse transformation.
| A | the input matrix | |
| solver | the solver object used for factorizing A | |
| shift | the shifting parameter (lower bound) | |
| number | the number of eigenvalues to be computed |
1.5.6