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| author | jeanpouget-abadie <jean.pougetabadie@gmail.com> | 2014-12-07 17:33:49 -0500 |
|---|---|---|
| committer | jeanpouget-abadie <jean.pougetabadie@gmail.com> | 2014-12-07 17:33:49 -0500 |
| commit | 6470fd53a89102b365aa1c0c288acf0076115a97 (patch) | |
| tree | a30bbd93047172dbe846e870b620ca6e119d52d7 /src/convex_optimization.py | |
| parent | 9c2d0453e83d7a2472a02bcc09fc7b2a5c79fc6a (diff) | |
| download | cascades-6470fd53a89102b365aa1c0c288acf0076115a97.tar.gz | |
related works
Diffstat (limited to 'src/convex_optimization.py')
| -rw-r--r-- | src/convex_optimization.py | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/src/convex_optimization.py b/src/convex_optimization.py index 530e3f5..96dc26f 100644 --- a/src/convex_optimization.py +++ b/src/convex_optimization.py @@ -6,7 +6,7 @@ import timeout import cvxopt -@timeout.timeout(10) +@timeout.timeout(20) def l1obj_l2constraint(M_val, w_val): """ Solves: @@ -61,7 +61,7 @@ def l1obj_l2constraint(M_val, w_val): return 1 - np.exp(theta), theta -@timeout.timeout(10) +@timeout.timeout(20) def l1obj_l2penalization(M_val, w_val, lbda): """ Solves: |