Optimization with Julia: Mastering Operations Research

سرفصل های دوره

Solve optimization problems with Gurobi, CPLEX, GLPK, IPOPT, JuMP... using linear programming, nonlinear, MILP...

1 - Introduction

1 - What is optimization and why use Julia

2 - Objective function variables parameters and constraints

3 - How to solve optimization problems

4 - Examples of what you are gonna learn

2 - Starting with Julia

5 - Installing Julia

6 - Installing VSCode

7 - Our first code

8 - If statement

9 - Functions

10 - Loops

11 - Lists arrays and dicts

12 - Packages

13 - Reading Excel Files

13 - dataNameAges.xlsx

13 - readdata.zip

14 - Learning more about Julia.html

3 - Linear Programming LP

15 - Introduction Linear and Nonlinear problems

16 - Modeling a linear problem

17 - Solving the first linear problem

18 - Using CBC

18 - lpfirst-cbc.zip

19 - List of solvers

20 - Installing and using Gurobi

21 - Installing and using CPLEX

22 - Example LP 1 Meal Planning Modeling

23 - Example LP 1 Meal Planning Solving

23 - lp-example1.zip

24 - Example LP 1 Working with indexes

24 - lp-example1-indexes.zip

25 - Example LP 2 Financial Investment Modeling

26 - Example LP 2 Financial Investment Solving

26 - lp-example2.zip

27 - 0-Mathematical-Programming.pdf

27 - 1-LP-concepts.pdf

27 - 2-Duality-Theory.pdf

27 - LP Concepts.html

4 - MixedInteger Linear Programming MILP

28 - Integer and Binary Variables

29 - Defining Integer Variables in Julia

30 - MILP Solvers

31 - Example MILP JobShop Modeling

31 - JobShopSchedulling-Article.pdf

31 - JobShopSchedulling-Book.pdf

32 - Example MILP JobShop Solving

32 - milp-example2.zip

33 - MILP Concepts.html

33 - MILP-concepts.pdf

5 - Working with Double Summation and Multiple Constraints

34 - Introduction and formulations

35 - Multiple Indexes in Julia

36 - Double Summations in Julia

37 - Multiple Constraints in Julia

38 - Multiple Constraints with Summation

38 - double.zip

39 - Naming Constraints

6 - Using external inputs to solve a routing problem VRP

40 - Routing Problem Formulation

41 - Data Input structure

41 - input.xlsx

42 - Reading Excel

42 - input.xlsx

43 - Reading other sources.html

44 - Creating sets and filtering DataFrames

45 - Solving the routing problem

45 - input.xlsx

45 - routing.zip

46 - Exporting the solution

46 - input.xlsx

46 - output.csv

46 - routing.zip

7 - Parameters and Progress of the Solver

47 - Progress of the Solver

47 - milp-example1-reference.zip

48 - CBC-manual-and-parameters.pdf

48 - Checking the parameters

48 - glpk.pdf

49 - Gap Tolerance

49 - milp-example1.zip

50 - Time Limit

50 - milp-example1.zip

8 - Nonlinear Programming NLP

51 - Release date March 26th 2023.html

9 - MixedInteger Nonlinear Programming MINLP

52 - Release date Abril 2nd 2023.html

10 - Expanding Your Knowledge and Exploring Opportunities

53 - Enhancing Your Knowledge of Mathematical Formulation and Optimization.html

54 - Course recommendation to expand your skills Optimization with Python.html

55 - Congratulations.html

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تولید کننده: Udemy-Training