def test_optimisation(self):
fLOG(__file__,
self._testMethodName,
OutputPrint=__name__ == "__main__")
sol2 = exercice_particulier2()
x2 = sol2['x']
d = abs(x2[0] - 0.428571428055853) + abs(x2[1] - 0.2857142848749249)
assert d < 1e-5
if is_travis_or_appveyor() == "travis":
# skip mkl
return
sol1 = exercice_particulier1()
sol2 = exercice_particulier2()
fLOG("cvxopt")
fLOG(sol1)
fLOG("solution:", sol1['x'].T)
fLOG("Arrow_Hurwicz")
fLOG(sol2)
fLOG("solution:", sol2['x'])
x1 = sol1['x']
x2 = sol2['x']
d1 = x1[0] - x2[0]
d2 = x1[1] - x2[1]
fLOG(d1, d2)
assert abs(d1) < 1e-5
assert abs(d2) < 1e-5
def test_optimisation(self):
fLOG(
__file__,
self._testMethodName,
OutputPrint=__name__ == "__main__")
sol2 = exercice_particulier2()
x2 = sol2['x']
d = abs(x2[0] - 0.428571428055853) + abs(x2[1] - 0.2857142848749249)
assert d < 1e-5
if is_travis_or_appveyor() == "travis":
# skip mkl
return
sol1 = exercice_particulier1()
sol2 = exercice_particulier2()
fLOG("cvxopt")
fLOG(sol1)
fLOG("solution:", sol1['x'].T)
fLOG("Arrow_Hurwicz")
fLOG(sol2)
fLOG("solution:", sol2['x'])
x1 = sol1['x']
x2 = sol2['x']
d1 = x1[0] - x2[0]
d2 = x1[1] - x2[1]
fLOG(d1, d2)
assert abs(d1) < 1e-5
assert abs(d2) < 1e-5
def test_optimisation_cvxopt(self):
fLOG(__file__,
self._testMethodName,
OutputPrint=__name__ == "__main__")
sol2 = exercice_particulier2()
x2 = sol2['x']
d = abs(x2[0] - 0.428571428055853) + abs(x2[1] - 0.2857142848749249)
self.assertLesser(d, 1e-5)
sol1 = exercice_particulier1()
sol2 = exercice_particulier2()
fLOG("cvxopt")
fLOG(sol1)
fLOG("solution:", sol1['x'].T)
fLOG("Arrow_Hurwicz")
fLOG(sol2)
fLOG("solution:", sol2['x'])
x1 = sol1['x']
x2 = sol2['x']
d1 = x1[0] - x2[0]
d2 = x1[1] - x2[1]
fLOG(d1, d2)
self.assertLesser(abs(d1), 1e-5)
self.assertLesser(abs(d2), 1e-5)
def test_optimisation(self):
fLOG(__file__,
self._testMethodName,
OutputPrint=__name__ == "__main__")
sol1 = exercice_particulier1()
sol2 = exercice_particulier2()
fLOG("cvxopt")
fLOG(sol1)
fLOG("solution:", sol1['x'].T)
fLOG("Arrow_Hurwicz")
fLOG(sol2)
fLOG("solution:", sol2['x'])
x1 = sol1['x']
x2 = sol2['x']
d1 = x1[0] - x2[0]
d2 = x1[1] - x2[1]
fLOG(d1, d2)
assert abs(d1) < 1e-5
assert abs(d2) < 1e-5
def test_optimisation(self):
fLOG(
__file__,
self._testMethodName,
OutputPrint=__name__ == "__main__")
sol1 = exercice_particulier1()
sol2 = exercice_particulier2()
fLOG("cvxopt")
fLOG(sol1)
fLOG("solution:", sol1['x'].T)
fLOG("Arrow_Hurwicz")
fLOG(sol2)
fLOG("solution:", sol2['x'])
x1 = sol1['x']
x2 = sol2['x']
d1 = x1[0] - x2[0]
d2 = x1[1] - x2[1]
fLOG(d1, d2)
assert abs(d1) < 1e-5
assert abs(d2) < 1e-5
