GGBAL: balances a pair of general complex matrices (A,B). This involves, first, permuting A and B by similarity transformations to isolate eigenvalues in the first 1 to ILO$-$1 and last IHI+1 to N elements on the diagonal; and second, applying a diagonal similarity transformation to rows and columns ILO to IHI to make the rows and columns as close in norm as possible. Both steps are optional. Balancing may reduce the 1-norm of the matrices, and improve the accuracy of the computed eigenvalues and/or eigenvectors in the generalized eigenvalue problem A*x = lambda*B*x.
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GGBAL: balances a pair of general complex matrices (A,B). This involves, first, permuting A and B by similarity transformations to isolate eigenvalues in the first 1 to ILO$-$1 and last IHI+1 to N elements on the diagonal; and second, applying a diagonal similarity transformation to rows and columns ILO to IHI to make the rows and columns as close in norm as possible. Both steps are optional. Balancing may reduce the 1-norm of the matrices, and improve the accuracy of the computed eigenvalues and/or eigenvectors in the generalized eigenvalue problem A*x = lambda*B*x.
◆ la_cggbal()
| la_lapack::ggbal::la_cggbal |
◆ la_dggbal()
| la_lapack::ggbal::la_dggbal |
◆ la_qggbal()
| la_lapack::ggbal::la_qggbal |
◆ la_sggbal()
| la_lapack::ggbal::la_sggbal |
◆ la_wggbal()
| la_lapack::ggbal::la_wggbal |
◆ la_zggbal()
| la_lapack::ggbal::la_zggbal |
The documentation for this interface was generated from the following file: