Pyomo Bootcamp: Python Optimization from Beginner to Advance
Guide for building optimization probelm (operation research) in Pyomo Jupyter and solve it using CPLEX, Gurobi and IPOPT
Created by Optimization Team | 5 hours on-demand video course
**Brand New For 2023 – Pyomo Bootcamp: Python Optimization from Beginner to Advance Course on Udemy**. Join your 18000 fellow researchers and experts in operation research industry in learning the fundamentals of the optimal decision making and optimization. Learn Pyomo in 3 days. If you just want to learn Python then this course is not for you. if you want to learn Optimization modeling in Python then Welcome to the Pyomo Bootcamp: Python Optimization from Beginner to Advance course!
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.
Recommended Course
Optimization with Python: Solve Operations Research Problems
2023 Python Data Analysis & Visualization Masterclass by Colt Steele
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