Читать книгу Mathematical Programming for Power Systems Operation - Alejandro Garcés Ruiz - Страница 47

This chapter presented basic optimization methods for constrained and unconstrained problems. Conditions for convergence of these algorithms were not presented here. However, they are incorporated into modules and solvers called for a modeling/programming language such as Python. Our approach is to use these solvers and concentrate on studying the characteristics of the models. Readers interested in details of the algorithms are invited to review [12] and [11], for a formal analysis of convergence; other variants of the algorithms can be found in [13]. Moreover, a complete review of Lagrange multipliers can be studied in [14].

This chapter is also an excuse for presenting Python’s features as programming and modeling language. The reader can review Appendix C for more details about each of the commands used in this section.