numeric-linalg
Educational material on the SciPy implementation of numerical linear algebra algorithms
| Name | Size | Mode | |
| .. | |||
| lapack/TESTING/dgd.in | 4387B | -rw-r--r-- |
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DGS Data for the Real Nonsymmetric Schur Form Driver 5 Number of matrix dimensions 2 6 10 12 20 30 Matrix dimensions 1 1 1 2 1 Parameters NB, NBMIN, NXOVER, NS, NBCOL 10 Threshold for test ratios .TRUE. Put T to test the error exits 0 Code to interpret the seed DGS 26 Test all 26 matrix types DGV Data for the Real Nonsymmetric Eigenvalue Problem Driver 6 Number of matrix dimensions 2 6 8 10 15 20 Matrix dimensions 1 1 1 2 1 Parameters NB, NBMIN, NXOVER, NS, NBCOL 10 Threshold value .TRUE. Put T to test the error exits 0 Code to interpret the seed DGV 26 Test all 26 matrix types DGX Data for the Real Nonsymmetric Schur Form Expert Driver 2 Largest matrix dimension (0 <= NSIZE <= 5) 1 1 1 2 1 Parameters NB, NBMIN, NXOVER, NS, NBCOL 10 Threshold for test ratios .TRUE. Put T to test the error exits 0 Code to interpret the seed DGX Data for the Real Nonsymmetric Schur Form Expert Driver 0 Largest matrix dimension 1 1 1 2 1 Parameters NB, NBMIN, NXOVER, NS, NBCOL 10 Threshold for test ratios .TRUE. Put T to test the error exits 0 Code to interpret the seed 4 2 8.0000D+00 4.0000D+00 -1.3000D+01 4.0000D+00 Input matrix A 0.0000D+00 7.0000D+00 -2.4000D+01 -3.0000D+00 0.0000D+00 0.0000D+00 3.0000D+00 -5.0000D+00 0.0000D+00 0.0000D+00 0.0000D+00 1.6000D+01 9.0000D+00 -1.0000D+00 1.0000D+00 -6.0000D+00 Input matrix B 0.0000D+00 4.0000D+00 1.6000D+01 -2.4000D+01 0.0000D+00 0.0000D+00 -1.1000D+01 6.0000D+00 0.0000D+00 0.0000D+00 0.0000D+00 4.0000D+00 2.5901D-01 1.7592D+00 Condition #'s for cluster selected from lower 2x2 4 2 1.0000D+00 2.0000D+00 3.0000D+00 4.0000D+00 Input matrix A 0.0000D+00 5.0000D+00 6.0000D+00 7.0000D+00 0.0000D+00 0.0000D+00 8.0000D+00 9.0000D+00 0.0000D+00 0.0000D+00 0.0000D+00 1.0000D+01 -1.0000D+00 -1.0000D+00 -1.0000D+00 -1.0000D+00 Input matrix B 0.0000D+00 -1.0000D+00 -1.0000D+00 -1.0000D+00 0.0000D+00 0.0000D+00 1.0000D+00 -1.0000D+00 0.0000D+00 0.0000D+00 0.0000D+00 1.0000D+00 9.8173D-01 6.3649D-01 Condition #'s for cluster selected from lower 2x2 0 DXV Data for the Real Nonsymmetric Eigenvalue Expert Driver 5 Largest matrix dimension 1 1 1 2 1 Parameters NB, NBMIN, NXOVER, NS, NBCOL 10 Threshold for test ratios .TRUE. Put T to test the error exits 0 Code to interpret the seed DXV Data for the Real Nonsymmetric Eigenvalue Expert Driver 0 Largest matrix dimension 1 1 1 2 1 Parameters NB, NBMIN, NXOVER, NS, NBCOL 10 Threshold for test ratios .TRUE. Put T to test the error exits 0 Code to interpret the seed 4 8.0000D+00 4.0000D+00 -1.3000D+01 4.0000D+00 Input matrix A 0.0000D+00 7.0000D+00 -2.4000D+01 -3.0000D+00 0.0000D+00 0.0000D+00 3.0000D+00 -5.0000D+00 0.0000D+00 0.0000D+00 0.0000D+00 1.6000D+01 9.0000D+00 -1.0000D+00 1.0000D+00 -6.0000D+00 Input matrix B 0.0000D+00 4.0000D+00 1.6000D+01 -2.4000D+01 0.0000D+00 0.0000D+00 -1.1000D+01 6.0000D+00 0.0000D+00 0.0000D+00 0.0000D+00 4.0000D+00 3.1476D+00 2.5286D+00 4.2241D+00 3.4160D+00 eigenvalue condition #'s 6.7340D-01 1.1380D+00 3.5424D+00 9.5917D-01 eigenvector condition #'s 4 1.0000D+00 2.0000D+00 3.0000D+00 4.0000D+00 Input matrix A 0.0000D+00 5.0000D+00 6.0000D+00 7.0000D+00 0.0000D+00 0.0000D+00 8.0000D+00 9.0000D+00 0.0000D+00 0.0000D+00 0.0000D+00 1.0000D+01 -1.0000D+00 -1.0000D+00 -1.0000D+00 -1.0000D+00 Input matrix B 0.0000D+00 -1.0000D+00 -1.0000D+00 -1.0000D+00 0.0000D+00 0.0000D+00 1.0000D+00 -1.0000D+00 0.0000D+00 0.0000D+00 0.0000D+00 1.0000D+00 1.3639D+00 4.0417D+00 6.4089D-01 6.8030D-01 eigenvalue condition #'s 7.6064D-01 8.4964D-01 1.1222D-01 1.1499D-01 eigenvector condition #'s 0