Optimization Method and Application in Python and Aviation

Optimization methods have been formed and developed in recent decades and play an important role in many fields. In the aviation sector, it plays a role in everything from the design of air vehicles to the planning of routes, ticketing, etc. Through the method of literature review, this paper introduces optimization methods and their applications in aviation and python. In the theoretical aspect, mathematical methods involved in optimization methods and some python applications of them are included in this paper. In terms of real-world applications, this paper discusses the application of optimization methods in the field of aviation. The paper finds that different optimisation approaches have certain pitfalls in use, such as the gradient descent method used by the authors of this paper, which in some cases may converge to a local minimum rather than a global minimum. Besides, it iterates at a reduced speed near the extremes.