Price: 5.00 USD | Size: 2.96 GB | Duration : 13.19+ Hours |
BRAND: Expert TRAINING | ENGLISH | INSTANT DOWNLOAD
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Optimization with Python Solve Operations Research Problems
What you'll learn
- Solve optimization problems using linear programming, mixed-integer linear programming, nonlinear programming, mixed-integer nonlinear programming,
- LP, MILP, NLP, MINLP, SCOP, NonCovex Problems
- Main solvers and frameworks, including CPLEX, Gurobi, and Pyomo
- Genetic algorithm, particle swarm, and constraint programming
- From the basic to advanced tools, learn how to install Python and how to use the main packages (Numpy, Pandas, Matplotlib...)
- How to solve problems with arrays and summations
Requirements
- Some knowledge in programming logic
- Why and where to use optimization
- It is NOT necessary to know Python
Modules
01_Introduction to the course
02_Installing Python
03_Starting with Python
04_Introduction to mathematical modelling
05_Linear Programming (LP)
06_Working with Pyomo
07_Mixed-Integer Linear Programming (MILP)
08_Nonlinear Programming (NLP)
09_Mixed-Integer Nonlinear Programming (MINLP)
10_Constraint Programming (CP)
11_Special Cases
12_Advanced Features for Pyomo
13_More exercises and modeling
14_Conclusion
Pdfs
