| findEigenVectorsFromSchur(SchurTransformer) |   | 91% | | 81% | 8 | 30 | 8 | 103 | 0 | 1 |
| findEigenVectors(double[][]) | | 96% | | 92% | 4 | 34 | 5 | 102 | 0 | 1 |
| EigenDecomposition(double[], double[], double) | | 0% | | n/a | 1 | 1 | 2 | 2 | 1 | 1 |
| getImagEigenvalues() | | 0% | | n/a | 1 | 1 | 1 | 1 | 1 | 1 |
| getImagEigenvalue(int) | | 0% | | n/a | 1 | 1 | 1 | 1 | 1 | 1 |
| getSolver() | | 78% | | 50% | 1 | 2 | 1 | 3 | 0 | 1 |
| EigenDecomposition(RealMatrix, double) | | 0% | | n/a | 1 | 1 | 2 | 2 | 1 | 1 |
| hasComplexEigenvalues() | | 90% | | 75% | 1 | 3 | 1 | 4 | 0 | 1 |
| transformToSchur(RealMatrix) | | 100% | | 100% | 0 | 4 | 0 | 16 | 0 | 1 |
| getD() | | 100% | | 100% | 0 | 5 | 0 | 8 | 0 | 1 |
| getSquareRoot() | | 100% | | 100% | 0 | 4 | 0 | 12 | 0 | 1 |
| EigenDecomposition(double[], double[]) | | 100% | | 100% | 0 | 2 | 0 | 12 | 0 | 1 |
| EigenDecomposition(RealMatrix) | | 100% | | 100% | 0 | 2 | 0 | 10 | 0 | 1 |
| getV() | | 100% | | 100% | 0 | 3 | 0 | 6 | 0 | 1 |
| getVT() | | 100% | | 100% | 0 | 3 | 0 | 6 | 0 | 1 |
| getDeterminant() | | 100% | | 100% | 0 | 2 | 0 | 4 | 0 | 1 |
| transformToTridiagonal(RealMatrix) | | 100% | | n/a | 0 | 1 | 0 | 4 | 0 | 1 |
| cdiv(double, double, double, double) | | 100% | | n/a | 0 | 1 | 0 | 1 | 0 | 1 |
| getEigenvector(int) | | 100% | | n/a | 0 | 1 | 0 | 1 | 0 | 1 |
| getRealEigenvalues() | | 100% | | n/a | 0 | 1 | 0 | 1 | 0 | 1 |
| getRealEigenvalue(int) | | 100% | | n/a | 0 | 1 | 0 | 1 | 0 | 1 |