Optimization Modeling in Python, Pyomo models with Jupyter Notebooks (Optimal Decision Making)
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What you'll learn
Write simple and complex pyomo models
LP, MIP, MINLP, NLP ,QCP, MIQCP
How to mathematically formulate your optimization problems in Python?
Practice Exercises to Confirm the Learnings
How to find the duality coefficients of the constraints ?
Build the skills you need to get your first Operation research / Optimization job /OR Scientist position
Build a complete understanding of Pyomo models from the ground up!
How to start coding your optimization problem in Python (pyomo)? Linear programming, Mixed Integer programming, Quadratic programming, Non-linear Programming
Is it suitable for Mechanical engineering ? Yes, for example : design problems
Is it suitable for Chemical engineering ? Yes, for example : optimal design of chemical systems, optimal operation of chemical units, pooling-blending, optimal control of a process and etc.
Is it suitable for Electrical engineering ? Yes, for example : optimal operation and planning of power plants, optimal power flow and etc.
Is it suitable for Civil engineering ? Yes for example in traffic management, bridge design , reinforcement planning and etc.