Optimization with Python: Solve Operations Research Problems



Optimization with Python: Solve Operations Research Problems

Rating 4.61 out of 5 (659 ratings in Udemy)


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, …
Duration 12 Hours 58 Minutes
Paid

Self paced

All Levels

English (US)

4456

Rating 4.61 out of 5 (659 ratings in Udemy)

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