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| author | jeanpouget-abadie <jean.pougetabadie@gmail.com> | 2015-02-03 19:24:01 -0500 |
|---|---|---|
| committer | jeanpouget-abadie <jean.pougetabadie@gmail.com> | 2015-02-03 19:24:01 -0500 |
| commit | d40aa3146346b6a3f525c288f329e50d7d0b5234 (patch) | |
| tree | de36f20619a83fbc90a27529c80f0d97616d1dd8 /src/convex_optimization.py | |
| parent | 48a2de8744a7b03e196baa4fbede104eeb396c92 (diff) | |
| download | cascades-d40aa3146346b6a3f525c288f329e50d7d0b5234.tar.gz | |
new plots
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 d667c6e..39f7ee7 100644 --- a/src/convex_optimization.py +++ b/src/convex_optimization.py @@ -107,7 +107,7 @@ def diff_and_opt(M_val, w_val, f_x, f_xz): #Relaxing precision constraints cvxopt.solvers.options['feastol'] = 2e-5 cvxopt.solvers.options['abstol'] = 2e-5 - #cvxopt.solvers.options['maxiters'] = 100 + cvxopt.solvers.options['maxiters'] = 50 cvxopt.solvers.options['show_progress'] = False try: theta = cvxopt.solvers.cp(F, G, h)['x'] |