def bilinear_problem():
m = aml.ConcreteModel(name='test_relaxation')
m.I = range(5)
m.x = aml.Var(bounds=(-7, 7))
m.y = aml.Var(bounds=(-3, 3))
m.obj = aml.Objective(expr=m.x + m.y)
m.cons = aml.Constraint(expr=m.x * m.y + m.y**2 >= 0)
return dag_from_pyomo_model(m)
def problem():
m = aml.ConcreteModel(name='test_relaxation')
m.I = range(5)
m.x = aml.Var(m.I, domain=aml.NonNegativeIntegers)
m.obj = aml.Objective(expr=m.x[0])
m.cons0 = aml.Constraint(expr=sum(m.x[i] for i in m.I) >= 0)
m.cons1 = aml.Constraint(
expr=-2.0 * aml.sin(m.x[0]) + aml.cos(m.x[1]) >= 0)
m.cons2 = aml.Constraint(expr=m.x[1] * m.x[2] >= 0)
return dag_from_pyomo_model(m)
def problem():
model = aml.ConcreteModel()
model.x = aml.Var(bounds=(2, 7))
model.y = aml.Var(bounds=(-1, 1))
model.obj = aml.Objective(expr=0.25 * model.x * aml.sin(model.x))
return dag_from_pyomo_model(model)
def get_problem(self, rule):
m = aml.ConcreteModel()
m.x = aml.Var()
m.y = aml.Var()
m.obj = aml.Objective(expr=rule(m))
return dag_from_pyomo_model(m)