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| author | jeanpouget-abadie <jean.pougetabadie@gmail.com> | 2015-02-04 23:54:08 -0500 |
|---|---|---|
| committer | jeanpouget-abadie <jean.pougetabadie@gmail.com> | 2015-02-04 23:54:08 -0500 |
| commit | 6145d1adab1197300d64560b7d26fddd59bdf41d (patch) | |
| tree | aead39ba32e0f3ce6470761c7c6c4ff60e3ee2b2 /src/convex_optimization.py | |
| parent | 1d7ffddca772e540efba876748a2b6e1d3bbd9f4 (diff) | |
| download | cascades-6145d1adab1197300d64560b7d26fddd59bdf41d.tar.gz | |
small changes
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 fce89b8..81bee2b 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(-.7, (n,1)) + return 0, cvxopt.matrix(-.01, (n,1)) elif z is None: y, y_diff = f_x(x, M_val, w_val) return cvxopt.matrix(float(y), (1, 1)),\ |