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| author | jeanpouget-abadie <jean.pougetabadie@gmail.com> | 2015-02-04 12:35:03 -0500 |
|---|---|---|
| committer | jeanpouget-abadie <jean.pougetabadie@gmail.com> | 2015-02-04 12:35:03 -0500 |
| commit | a819813ca6c310d84a52de51e7bc49ea8dd8a726 (patch) | |
| tree | 46d1f852693acbc7572cff8869f9c423d4230a00 /src/convex_optimization.py | |
| parent | e82b8100d4da0789e7f13e90778f1cc2d2a49df5 (diff) | |
| download | cascades-a819813ca6c310d84a52de51e7bc49ea8dd8a726.tar.gz | |
adding datasets, sorry T-bone
Diffstat (limited to 'src/convex_optimization.py')
| -rw-r--r-- | src/convex_optimization.py | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/src/convex_optimization.py b/src/convex_optimization.py index 3111e50..0ff4521 100644 --- a/src/convex_optimization.py +++ b/src/convex_optimization.py @@ -90,7 +90,7 @@ def diff_and_opt(M_val, w_val, f_x, f_xz): def F(x=None, z=None): if x is None: - return 0, cvxopt.matrix(-.00001, (n,1)) + return 0, cvxopt.matrix(-.1, (n,1)) elif z is None: y, y_diff = f_x(x, M_val, w_val) return cvxopt.matrix(float(y), (1, 1)),\ |