I made the new turtorial to better understand the pyomo. Here are my commits:
Provide more background on optimization: Explain the basics of optimization and how it relates to Pyomo.
Explain the types of mathematical problems Pyomo is used for. Include details on LP, NLP, MILP, MINLP, stochastic programming, and other relevant types.
Clarify the types of optimization models: Discuss the differences between concrete and abstract models in Pyomo.
Outline the steps of optimization: Describe the process, including understanding the problem, modeling, framework selection, and choosing a solver.
Include examples for each type of mathematical problem: Provide specific examples of LP, NLP, MILP, MINLP, and other models to illustrate how Pyomo can be utilized to solve such optimization problems.
I made the new turtorial to better understand the pyomo. Here are my commits: