Udemy - Optimization with Python Complete Pyomo Bootcamp A-Z

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Udemy - Optimization with Python Complete Pyomo Bootcamp A-Z (Size: 3.2 GB)
  1. A Review on Optimization’s Important Concepts.mp4 48.6 MB
  1. A Review on Optimization’s Important Concepts.srt 17.7 KB
  1. Course Introduction.mp4 11.8 MB
  1. Course Introduction.srt 4.3 KB
  1. Introduction to Integer Programming.mp4 12.1 MB
  1. Introduction to Integer Programming.srt 4.4 KB
  1. Introduction to LP problems.mp4 4.8 MB
  1. Introduction to LP problems.srt 2.5 KB
  1. Introduction to Mixed-Integer Non-Linear Programming.mp4 4 MB
  1. Introduction to Mixed-Integer Non-Linear Programming.srt 1.5 KB
  1. Introduction to Non-Linear Programming.mp4 5.1 MB
  1. Introduction to Non-Linear Programming.srt 2.5 KB
  1. Review & Reading Suggestions.mp4 7.1 MB
  1. Review & Reading Suggestions.srt 2.8 KB
  1. Why Google Colab.mp4 3.5 MB
  1. Why Google Colab.srt 1.5 KB
  2. Course Content.mp4 9.5 MB
  2. Course Content.srt 4 KB
  2. Example1 Problem Formulation.mp4 24.7 MB
  2. Example1 Problem Formulation.srt 7.7 KB
  2. Review on Colab Environment.mp4 49.4 MB
  2. Review on Colab Environment.srt 11.8 KB
  3. Example 1 Model Development in Python.mp4 103 MB
  3. Example 1 Model Development in Python.srt 20.2 KB
  3. Example1 Model Development in Python.mp4 78.5 MB
  3. Example1 Model Development in Python.srt 13.6 KB
  3. Pyomo Installation.html 614.4 B
  4. Example2 Problem Formulation.mp4 72.1 MB
  4. Example2 Problem Formulation.srt 18.7 KB
  5. Example2 Model Development in Python.mp4 320.7 MB
  5. Example2 Model Development in Python.srt 51.1 KB
  5.1 S7P2_Data.xlsx 8.5 KB
  6. LP Challenge Problem.mp4 64.9 MB
  6. LP Challenge Problem.srt 18.7 KB
  6. MILP Challenge Problem.mp4 44.6 MB
  6. MILP Challenge Problem.srt 14 KB
  6. MINLP Challenge Problem.mp4 81.8 MB
  6. MINLP Challenge Problem.srt 17.8 KB
  6. NLP Challenge Problem.mp4 89.1 MB
  6. NLP Challenge Problem.srt 21.2 KB
  7. LP Challenge Solution in Python.mp4 218.2 MB
  7. LP Challenge Solution in Python.srt 38.9 KB
  7. MILP Challenge Solution in Python.mp4 215.7 MB
  7. MILP Challenge Solution in Python.srt 34.3 KB
  7. MINLP Challenge Solution.mp4 442.5 MB
  7. MINLP Challenge Solution.srt 67.1 KB
  7. NLP Challenge Solution.mp4 277.1 MB
  7. NLP Challenge Solution.srt 40.7 KB
  7.1 S5P3_Data.xlsx 8.5 KB
  7.1 S7P3_Data.xlsx 8.5 KB
  8. List of Solvers.html 1 KB
  Bonus Resources.txt 409.6 B
  Get Bonus Downloads Here.url 204.8 B
  S4-Problem2.ipynb 6.8 KB
  S4-Problem3.py 2.3 KB
  S4-problem1.ipynb 5.6 KB
  S4-problem1.py 921.6 B
  S4-problem2.py 1.6 KB
  S4-problem3.ipynb 8.4 KB
  S5-Problem1.ipynb 8 KB
  S5-Problem2.ipynb 7.8 KB
  S5-problem1.py 1.9 KB
  S5-problem2.py 1.9 KB
  S5-problem3.ipynb 6.5 KB
  S5P3_Data.xlsx 8.5 KB
  S6_Problem1.ipynb 4 KB
  S6_Problem2.ipynb 5.4 KB
  S6_Problem3.ipynb 32.1 KB
  S7P2_Data.xlsx 8.5 KB
  S7P3_Data.xlsx 8.5 KB
  S7_Problem1.ipynb 4.1 KB
  S7_Problem2.ipynb 7.4 KB
  S7_Problem3.ipynb 17 KB
  s5-problem3.py 1.7 KB
  s6_problem1.py 1.1 KB
  s6_problem2.py 2 KB
  s6_problem3.py 28.2 KB
  s7_problem1.py 1 KB
  s7_problem2.py 2.9 KB
  s7_problem3.py 12.5 KB
  ▲ 102 total files

Description


Optimization with Python Complete Pyomo Bootcamp A-Z
https://DevCourseWeb.com

Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 48.0 KHz
Language: English | Size: 3.15 GB | Duration: 9h 24m

Learn How to Use CPLEX, IPOPT & COUENNE Solvers to Solve Linear & Non-Linear and Integer Programming Problems in Python

What you'll learn
Basic Concepts and Terms Related to Optimization
How to Formulate a Mathematical Problem
Linear Programming and Coding LP Problems in Python Using Pyomo
Mixed Integer Linear Programming (MILP) and Coding MILP Problems in Python Using Pyomo
Non-Linear Programming (NLP) and Coding NLP Problems in Python Using Pyomo
Mixed Integer Non-Linear Programming (MINLP) and Coding MINLP Problems in Pyhton Using Pyomo

Description
Mathematical Optimization is getting more and more popular in most quantitative disciplines, such as engineering, management, economics, and operations research. Furthermore, Python is one of the most famous programming languages that is getting more attention nowadays. Therefore, we decided to create a course for mastering the development of optimization problems in the Python environment. In this course, you will learn how to deal with various types of mathematical optimization problems as below

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