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Diffstat (limited to 'doc/C06_TutorialLinearAlgebra.dox')
| -rw-r--r-- | doc/C06_TutorialLinearAlgebra.dox | 4 |
1 files changed, 3 insertions, 1 deletions
diff --git a/doc/C06_TutorialLinearAlgebra.dox b/doc/C06_TutorialLinearAlgebra.dox index 7c851ec34..c3bb7b40d 100644 --- a/doc/C06_TutorialLinearAlgebra.dox +++ b/doc/C06_TutorialLinearAlgebra.dox @@ -229,7 +229,9 @@ Of course, any rank computation depends on the choice of an arbitrary threshold, floating-point matrix is \em exactly rank-deficient. Eigen picks a sensible default threshold, which depends on the decomposition but is typically the diagonal size times machine epsilon. While this is the best default we could pick, only you know what is the right threshold for your application. You can set this by calling setThreshold() -on your decomposition object before calling compute(), as in this example: +on your decomposition object before calling rank() or any other method that needs to use such a threshold. +The decomposition itself, i.e. the compute() method, is independent of the threshold. You don't need to recompute the +decomposition after you've changed the threshold. <table class="tutorial_code"> <tr> |