From 20b17f5fb49312a4f765a6bcae55d9c4919932f3 Mon Sep 17 00:00:00 2001 From: mkazhdan Date: Fri, 19 Jul 2019 00:40:32 -0400 Subject: [PATCH] no message --- README.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index 62eb495..4125877 100644 --- a/README.md +++ b/README.md @@ -753,9 +753,9 @@ The function fitting the input samples can be by calling the point interpolant: Then, the reconstructed function can be evaluated at the evaluation samples by calling the adaptive tree visualization:
% AdaptiveTreeVisualization --in quadratic.2D.tree --samples quadratic.2D.evaluation.samples
This will output the evaluation positions and values: -
0 0 1.33836e-05

-
0.5 0 0.25001

-
0.5 0.5 0.500006

+
0 0 1.33836e-05
+
0.5 0 0.25001
+
0.5 0.5 0.500006
2 2 nan
Note that because the last evaluation position, (2,2), is outside the bounding box of the fitting samples, the function cannot be evaluated at this point and a value of "nan" is output.