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
4.36 (798 reviews)
71 458
students
5 hours
content
Feb 2023
last update
$64.99
regular price
What you will 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
Suitable for Chemical engineering ? Yes, Optimal design of chemical systems, optimal operation of chemical units, pooling-blending, optimal control of a process
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.
Google Colab and Neos Server
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Our Verdict
Pyomo Bootcamp: Python Optimization from Beginner to Advance is a solid course for those looking to learn about optimization techniques using Pyomo. While there are some areas where improvements can be made, the strengths of this course—comprehensive coverage, real-world examples, and exercises, and clear teaching style—make it an excellent resource for anyone interested in learning about optimization problems and their solutions.
What We Liked
- Comprehensive coverage of Pyomo and its applications in optimization problems, including LP, MIP, MINLP, NLP, QCP, and MIQCP.
- Real-world examples and exercises that reinforce concepts learned, helping to develop skills necessary for using Pyomo effectively.
- Knowledgeable instructor with a clear and concise teaching style, making the course accessible to both beginners and experienced users.
Potential Drawbacks
- Lack of detailed solutions or walkthroughs for some exercises, making it challenging for learners who may be struggling with certain concepts.
- Limited number of real-world examples and case studies, which could help illustrate how Pyomo can be applied in practice.
- Some errors in the videos that have not been corrected, suggesting a lack of attention to detail.
Related Topics
3105242
udemy ID
08/05/2020
course created date
18/09/2020
course indexed date
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