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authorYuri Victorovich <yuri@FreeBSD.org>2022-06-19 21:37:32 +0000
committerYuri Victorovich <yuri@FreeBSD.org>2022-06-19 21:38:11 +0000
commit1b6bef5d436ab3213b9996a06880e155ffaadd06 (patch)
treed2140cccdf884c2a62f42e4c237ccbadd08d76de /math/py-nlopt/files/example.py
parentfd747902cfaf04d614321a3e4e8cacc02fa41b44 (diff)
Diffstat (limited to 'math/py-nlopt/files/example.py')
-rw-r--r--math/py-nlopt/files/example.py24
1 files changed, 24 insertions, 0 deletions
diff --git a/math/py-nlopt/files/example.py b/math/py-nlopt/files/example.py
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+++ b/math/py-nlopt/files/example.py
@@ -0,0 +1,24 @@
+import nlopt
+from numpy import *
+def myfunc(x, grad):
+ if grad.size > 0:
+ grad[0] = 0.0
+ grad[1] = 0.5 / sqrt(x[1])
+ return sqrt(x[1])
+def myconstraint(x, grad, a, b):
+ if grad.size > 0:
+ grad[0] = 3 * a * (a*x[0] + b)**2
+ grad[1] = -1.0
+ return (a*x[0] + b)**3 - x[1]
+opt = nlopt.opt(nlopt.LD_MMA, 2)
+opt.set_lower_bounds([-float('inf'), 0])
+opt.set_min_objective(myfunc)
+opt.add_inequality_constraint(lambda x,grad: myconstraint(x,grad,2,0), 1e-8)
+opt.add_inequality_constraint(lambda x,grad: myconstraint(x,grad,-1,1), 1e-8)
+opt.set_xtol_rel(1e-4)
+x = opt.optimize([1.234, 5.678])
+minf = opt.last_optimum_value()
+print("optimum at ", x[0], x[1])
+print("minimum value = ", minf)
+print("result code = ", opt.last_optimize_result())
+