Fixing images.

convexengineering · Jun 28, 2019 · f5f2879 · f5f2879
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diff --git a/docs/source/math.rst b/docs/source/math.rst
@@ -50,7 +50,7 @@ of posynomials.
 
 |picHsiung|
 
-.. |picHsiung| image:: picHsiung.png
+.. |picHsiung| image:: picHsiung.PNG
         :width: 90%
 
 For derivation of robust GPs, the central finding is in Corollary 1 of the paper,
@@ -98,7 +98,7 @@ We show an example of such a partition, borrowed from Ozturk et al..
 
 |partitioning|
 
-.. |partitioning| image:: partitioning.png
+.. |partitioning| image:: partitioning.PNG
         :width: 90%
 
 RSPs can be represented as sequential RGPs.
@@ -110,7 +110,7 @@ as the initial guess for the RSP solution heuristic outlined below.
 
 |rspSolve|
 
-.. |rspSolve| image:: rspSolve.png
+.. |rspSolve| image:: rspSolve.PNG
         :width: 80%
 
 Within this framework, all GPs and SPs, given that they

diff --git a/docs/source/rspapproaches.rst b/docs/source/rspapproaches.rst
@@ -21,7 +21,7 @@ The deterministic solution of the uncertain SP is in general a good candidate :m
 
 |rspSolve|
 
-.. |rspSolve| image:: rspSolve.png
+.. |rspSolve| image:: rspSolve.PNG
         :width: 80%
 
 For comparisons between methods ahead, we write the algorithm explicitly as follows:

diff --git a/docs/source/whyro.rst b/docs/source/whyro.rst
@@ -15,10 +15,10 @@ Comparison of general SO methods with RO
 
 |picOUC1| |picSO|
 
-.. |picOUC1| image:: ouc.png
+.. |picOUC1| image:: ouc.PNG
         :width: 48%
 
-.. |picSO| image:: so.png
+.. |picSO| image:: so.PNG
         :width: 48%
 
 General optimization 'under certainty', eg. gradient descent, is done using methods that sample the
@@ -40,10 +40,10 @@ potential outcomes into scenarios. And even so, SO has big computational require
 
 |picOUC2| |picRO|
 
-.. |picOUC2| image:: ouc.png
+.. |picOUC2| image:: ouc.PNG
         :width: 48%
 
-.. |picRO| image:: ro.png
+.. |picRO| image:: ro.PNG
         :width: 48%
 
 RO takes a different approach, choosing to optimize designs for worst-case objective outcomes