# HG changeset patch
# User Ruben Martinez-Cantin
# Date 1371488676 -7200
# Node ID 55e847230a2633c54b11bc7e19f8a400ad54e863
# Parent a5f934f416698d31fe8eee24bce2ad59fb15d8a8
Correcting typos in documentation.
diff --git a/doxygen/demos.dox b/doxygen/demos.dox
--- a/doxygen/demos.dox
+++ b/doxygen/demos.dox
@@ -85,10 +85,17 @@
\subsection reembodemo Demo in very high dimensions
-\b demo_reembo evaluates the REEMBO algorithm for optimization in very high dimensions. The idea is that Bayesian optimization can be used very high dimensions provided that the effective dimension is embedded in a lower space, by using random projections.
+\b demo_rembo evaluates the REMBO (Random EMbedding Bayesian
+Optimization) algorithm for optimization in very high dimensions. The
+idea is that Bayesian optimization can be used very high dimensions
+provided that the effective dimension is embedded in a lower space, by
+using random projections.
-In this case, we test it against an artificially augmented Branin function with 1000 dimensions where only 2 dimensions are actually relevant (but unknown). The function is defined in the file: \c braninghighdim
+In this case, we test it against an artificially augmented Branin
+function with 1000 dimensions where only 2 dimensions are actually
+relevant (but unknown). The function is defined in the file:
+\c braninghighdim
-For details about REEMBO, see \cite ZiyuWang2013.
+For details about REMBO, see \cite ZiyuWang2013.
*/
\ No newline at end of file
diff --git a/doxygen/reference.dox b/doxygen/reference.dox
--- a/doxygen/reference.dox
+++ b/doxygen/reference.dox
@@ -207,7 +207,7 @@
\subsection pyusage Python callback/inheritance usage
-The file python/test.py provides examples of the two Python
+The file python/demo_quad.py provides examples of the two Python
interfaces.
\b Parameters: For both interfaces, the parameters are defined as a
diff --git a/matlab/demo_reembo.m b/matlab/demo_rembo.m
rename from matlab/demo_reembo.m
rename to matlab/demo_rembo.m