def dual(self):
if self.problem:
if self.problem.is_integer:
raise ValueError("Dual values are not well-defined for integer problems")
return glp_get_col_dual(self.problem.problem, self._index)
else:
return None
def dual(self):
if self.problem:
if self.problem.is_integer:
raise ValueError("Dual values are not well-defined for integer problems")
return glp_get_col_dual(self.problem.problem, self._index)
else:
return None
def reduced_costs(self):
if self.is_integer:
raise ValueError(
"Dual values are not well-defined for integer problems")
reduced_costs = collections.OrderedDict(
(var.name, glp_get_col_dual(self.problem, index + 1))
for index, var in enumerate(self.variables))
return reduced_costs
def reduced_costs(self):
reduced_costs = collections.OrderedDict()
for index, variable in enumerate(self.variables):
if variable.type == "continuous":
value = glp_get_col_dual(self.problem, index + 1)
elif variable.type in ["binary", "integer"]:
value = glp_mip_col_val(self.problem, index + 1)
else:
raise AssertionError("Unknown variable type")
reduced_costs[variable.name] = value
return reduced_costs
def reduced_costs(self):
reduced_costs = collections.OrderedDict()
for index, variable in enumerate(self.variables):
if variable.type == "continuous":
value = glp_get_col_dual(self.problem, index + 1)
elif variable.type in ["binary", "integer"]:
value = glp_mip_col_val(self.problem, index + 1)
else:
raise AssertionError("Unknown variable type")
reduced_costs[variable.name] = value
return reduced_costs
def getReducedCosts(self, fluxNames):
if not self._eqConstBuilt:
raise Exception(
"Equality constraints not yet built. Finish construction of the problem before accessing dual values."
)
self._solve()
return np.array([
glp.glp_get_col_dual(self._lp, 1 + self._flows[fluxName])
if fluxName in self._flows else None for fluxName in fluxNames
])
def dual(self):
if self.problem:
return glp_get_col_dual(self.problem.problem, self._index)
else:
return None
def dual(self):
if self.problem:
return glp_get_col_dual(self.problem.problem, self.index)
else:
return None
def columnDualValue(self, j):
"""Return the dual value (i.e. reduced cost) of the structural variable
for the j-th column.
"""
return glp.glp_get_col_dual(self._lp, j)
