Classes

Problems classes

classes.problems.ProblemFeasibleInitPoint(...)	Class to define problems: UCO, CICO, CECO, CIECO.
classes.problems.ProblemFeasibleInitPoint.solve([...])	Solve problem using initial feasible point.

Functions classes

classes.functions.ObjectiveFunction(f)	Class to define objective function of optimization problem.
classes.functions.ObjectiveFunction.set_x(x)	Define x for function.
classes.functions.ObjectiveFunction.evaluate()	Evaluate function once it's arguments are defined.
classes.functions.GradientObjectiveFunction(gf)	Class to define gradient of objective function of optimization problem.
classes.functions.GradientObjectiveFunction.set_x(x)	Define x for function.
classes.functions.GradientObjectiveFunction.evaluate()	Evaluate function once it's arguments are defined.
classes.functions.HessianObjectiveFunction(Hf)	Class to define Hessian of objective function of optimization problem.
classes.functions.HessianObjectiveFunction.set_x(x)	Define x for function.
classes.functions.HessianObjectiveFunction.evaluate()	Evaluate function once it's arguments are defined.
classes.functions.LogarithmicBarrier(f, ...)	Class to define objective function of logarithmic barrier optimization problem.
classes.functions.LogarithmicBarrier.set_x(x)	Define x for function.
classes.functions.LogarithmicBarrier.set_t_B(t_B)	Define parameter t_B for function.
classes.functions.LogarithmicBarrier.evaluate()	Evaluate function once it's arguments are defined.
classes.functions.GradientLogarithmicBarrier(gf, ...)	Class to define gradient objective function of logarithmic barrier optimization problem.
classes.functions.GradientLogarithmicBarrier.set_x(x)	Define x for function.
classes.functions.GradientLogarithmicBarrier.set_t_B(t_B)	Define parameter t_B for function.
classes.functions.GradientLogarithmicBarrier.evaluate()	Evaluate function once it's arguments are defined.
classes.functions.HessianLogarithmicBarrier(Hf, ...)	Class to define Hessian objective function of logarithmic barrier optimization problem.
classes.functions.HessianLogarithmicBarrier.set_x(x)	Define x for function.
classes.functions.HessianLogarithmicBarrier.set_t_B(t_B)	Define parameter t_B for function.
classes.functions.HessianLogarithmicBarrier.evaluate()	Evaluate function once it's arguments are defined.