Numerical Optimization and Operations Research in Python
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Numerical Optimization and Operations Research in Python
Use data efficiently to support decision-making exploring Operations Research and Optimization in Python
Created by Bruno Leite | 4.5 hours on-demand video course
Numerical Optimization and Operations Research in Python. Learn how to use data efficiently to support decision-making by using numerical optimization and operations research with this comprehensive course. It successfully combines theoretical foundations and practical applications, designed to empower you with the skills needed to tackle complex optimization problems in a professional or academic context.
What you’ll learn
- Gain proficiency in solving optimization problems using popular solvers, and learn to interpret and implement their results effectively
- Learn and apply useful modeling techniques to classical operations research problems
- Identify and formulate real-world problems as numerical optimization models
- Complete a case study on how to combine operations research and software engineering to build powerful solutions
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Who this course is for:
- Professionals in pursuit of essential quantitative decision-making skills
- Academics eager to learn practical software skills to apply optimization theory
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