X-Git-Url: https://gitweb.michael.orlitzky.com/?a=blobdiff_plain;f=TODO;h=aaf796ff3b89f3546110c7604ee14142f2819c16;hb=f9c11a761f23f781495171c2b3136a92388a18a1;hp=2ab222a2b67343296257558f3ed45a7d58841093;hpb=a843cd2917655c9a0a151d03d2a76e02d0f18a85;p=dunshire.git

diff --git a/TODO b/TODO
index 2ab222a..aaf796f 100644
--- a/TODO
+++ b/TODO
@@ -3,13 +3,6 @@
 
 2. Add unit testing for crazier things like random invertible matrices.
 
-3. Test that the primal/dual optimal values always agree (this implies
-   that we always get a solution).
-
-4. Run the tests with make test.
-
-5. Use pylint or whatever to perform static analysis.
-
 6. Add real docstrings everywhere.
 
 7. Try to eliminate the code in matrices.py.
@@ -23,3 +16,7 @@
 
 11. Rename all of my variables so that they don't conflict with CVXOPT.
     Maybe x -> xi and y -> gamma in my paper, if that works out.
+
+12. Make sure we have the dimensions of the PSD cone correct.
+
+13. Use a positive tolerance when comparing floating point numbers.