Udemy - Pyomo Bootcamp - Python Optimization from Beginner to Advance

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[ TutSala.com ] Udemy - Pyomo Bootcamp - Python Optimization from Beginner to Advance
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 1. Introduction
    • 1. Intro.mp4 (13.0 MB)
    • 1. Intro.srt (4.4 KB)
    • 2. Python and Pyomo Installation.mp4 (11.9 MB)
    • 2. Python and Pyomo Installation.srt (3.5 KB)
    • 3. Visualization in Python.mp4 (9.2 MB)
    • 3. Visualization in Python.srt (2.7 KB)
    2. Pyomo Elements
    • 1. Pyomo Elements.mp4 (18.7 MB)
    • 1. Pyomo Elements.srt (8.6 KB)
    • 2. Abstract or Concrete Models Via a simple Example.mp4 (97.4 MB)
    • 2. Abstract or Concrete Models Via a simple Example.srt (18.0 KB)
    • 3. Update a parameter in an Abstract Models.mp4 (16.4 MB)
    • 3. Update a parameter in an Abstract Models.srt (2.7 KB)
    3. 30+ Solved Projects
    • 1. Biggest rectangle inside a circle.mp4 (40.7 MB)
    • 1. Biggest rectangle inside a circle.srt (9.3 KB)
    • 10. Biggest equal sized circles inside a unity circle.mp4 (28.9 MB)
    • 10. Biggest equal sized circles inside a unity circle.srt (3.1 KB)
    • 11. Clash of clans.mp4 (53.8 MB)
    • 11. Clash of clans.srt (8.6 KB)
    • 12. Biggest circle on a surface with obstacles.mp4 (45.0 MB)
    • 12. Biggest circle on a surface with obstacles.srt (5.7 KB)
    • 13. Center of mass.mp4 (52.0 MB)
    • 13. Center of mass.srt (7.1 KB)
    • 14. Min Queens to cover the chess board.mp4 (44.3 MB)
    • 14. Min Queens to cover the chess board.srt (9.3 KB)
    • 15. Connected tree.mp4 (60.8 MB)
    • 15. Connected tree.srt (10.1 KB)
    • 16. Spanning tree with degree constraints.mp4 (62.1 MB)
    • 16. Spanning tree with degree constraints.srt (8.7 KB)
    • 17. Connected tour.mp4 (55.0 MB)
    • 17. Connected tour.srt (6.7 KB)
    • 18. Conference allocation.mp4 (73.6 MB)
    • 18. Conference allocation.srt (9.8 KB)
    • 19. Max flow.mp4 (81.8 MB)
    • 19. Max flow.srt (10.5 KB)
    • 2. Biggest cylinder inside a Sphere.mp4 (23.7 MB)
    • 2. Biggest cylinder inside a Sphere.srt (5.0 KB)
    • 20. Graph Node Coloring.mp4 (54.6 MB)
    • 20. Graph Node Coloring.srt (10.0 KB)
    • 21. Graph Edge Coloring.mp4 (43.0 MB)
    • 21. Graph Edge Coloring.srt (7.3 KB)
    • 22. Chess board colouring.mp4 (57.8 MB)
    • 22. Chess board colouring.srt (9.6 KB)
    • 23. Facility allocation.mp4 (23.8 MB)
    • 23. Facility allocation.srt (4.2 KB)
    • 24. Curve fitting.mp4 (17.2 MB)
    • 24. Curve fitting.srt (2.7 KB)
    • 25. Paper company.mp4 (56.9 MB)
    • 25. Paper company.srt (8.6 KB)
    • 26. Transportation.mp4 (51.1 MB)
    • 26. Transportation.srt (7.7 KB)
    • 3. Fastest route.mp4 (22.7 MB)
    • 3. Fastest route.srt (4.6 KB)
    • 4. Heron problem.mp4 (23.4 MB)
    • 4. Heron problem.srt (4.7 KB)
    • 5. Steiner problem.mp4 (24.8 MB)
    • 5. Steiner problem.srt (4.2 KB)
    • 6. System of linear equations.mp4 (42.1 MB)
    • 6. System of linear equations.srt (8.4 KB)
    • 7. Hostile brothers in a rectangle.mp4 (41.2 MB)
    • 7. Hostile brothers in a rectangle.srt (6.0 KB)
    • 8. N-Queens.mp4 (32.7 MB)
    • 8. N-Queens.srt (6.2 KB)
    • 9. Circle placement in a rectangle.mp4 (53.0 MB)
    • 9. Circle placement in a rectangle.srt (7.9 KB)
    4. Some variants of previously solved examples
    • 1. Hostile brothers in a triangle.mp4 (22.2 MB)
    • 1. Hostile brothers in a triangle.srt (3.4 KB)
    • 2. Hostile brothers in a circle.mp4 (29.8 MB)
    • 2. Hostile brothers in a circle.srt (4.2 KB)
    • 3. Circle placement in a circle.mp4 (43.3 MB)
    • 3. Circle placement in a circle.srt (5.6 KB)
    • 4. Circle placement in a half-circle.mp4 (36.1 MB)
    • 4. Circle placement in a half-circle.srt (4.0 KB)
    • 5. Circle placement in a triangle.mp4 (54.1 MB)
    • 5. Circle placement in a triangle.srt (6.8 KB)
    • 6. Center of mass (negative mass).mp4 (38.9 MB)
    • 6. Center of mass (negative mass).srt (7.1 KB)
    5. Bonus lectures
    • 1. Pareto optimal front.mp4 (53.4 MB)
    • 1. Pareto optimal front.srt (13.9 KB)
    • 2. Dynamic Transportation Problem.mp4 (47.4 MB)
    • 2. Dynamic Transportation Problem.srt (7.7 KB)
    • 3. Data manipulation in Pyomo.mp4 (123.6 MB)
    • 3. Data manipulation in Pyomo.srt (15.7 KB)
    • 4. Rectangle Placement.mp4 (93.6 MB)
    • 4. Rectangle Placement.srt (16.4 KB)
    • Bonus Resources.txt (0.3 KB)
      • Resources
      • EX+Abstract+model-V0.ipynb (3.0 KB)
      • EX+Abstract+model-V1.ipynb (3.0 KB)
      • EX10-dual.ipynb (2.4 KB)
      • EX10.dat (0.2 KB)
      • EX10.ipynb (2.1 KB)
      • EX10.pdf (321.9 KB)
      • EX11(hostile+brothers).ipynb (12.3 KB)
      • EX11(hostile+brothers).py (1.3 KB)
      • EX11.dat (0.0 KB)
      • EX11.pdf (307.3 KB)
      • EX12(max+queens).ipynb (6.4 KB)
      • EX12.pdf (310.9 KB)
      • EX13 (1).dat (0.1 KB)
      • EX13-A(circle+placement+in+a+rectangle).ipynb (51.6 KB)
      • EX13-B(circle+placement+in+a+Circle).ipynb (50.6 KB)
      • EX13.dat (0.1 KB)
      • EX13A.pdf (331.4 KB)
      • EX13B.pdf (332.0 KB)
      • EX14(Pareto+optimal+solution).ipynb (13.0 KB)
      • EX14.pdf (322.3 KB)
      • EX15(clash+of+clans).ipynb (34.2 KB)
      • EX15.dat (1.5 KB)
      • EX15.pdf (1.8 MB)
      • EX16(biggest+circle+on+a+plane+with+obstacles)-multistart.ipynb (23.8 KB)
      • EX16(biggest+circle+on+a+plane+with+obstacles).ipynb (20.8 KB)
      • EX16.dat (0.0 KB)
      • EX16.pdf (314.1 KB)
      • EX17+(center+of+mass).ipynb (13.2 KB)
      • EX17.pdf (309.4 K

Description

Pyomo Bootcamp: Python Optimization from Beginner to Advance



Last Update: 8/2021
Duration: 4h 53m | Video: .MP4, 1280x720 30 fps | Audio: AAC, 44.1 kHz, 2ch | Size: 1.84 GB
Genre: eLearning | Language: English
Guide for building optimization probelm (operation research) in Pyomo Jupyter and solve it using CPLEX, Gurobi and IPOPT

What you'll learn:
Write simple and complex pyomo models
LP, MIP, MINLP, NLP ,QCP, MIQCP
How to mathematically formulate your optimization problems in Python?
Practice Exercises to Confirm the Learnings
How to find the duality coefficients of the constraints ?
Build the skills you need to get your first Operation research / Optimization job /OR Scientist position
Build a complete understanding of Pyomo models from the ground up!
How to start coding your optimization problem in Python (pyomo)? Linear programming, Mixed Integer programming, Quadratic programming, Non-linear Programming
Is it suitable for Mechanical engineering ? Yes, for example : design problems
Is it suitable for Chemical engineering ? Yes, for example : optimal design of chemical systems, optimal operation of chemical units, pooling-blending, optimal control of a process and etc.
Is it suitable for Electrical engineering ? Yes, for example : optimal operation and planning of power plants, optimal power flow and etc.
Is it suitable for Civil engineering ? Yes for example in traffic management, bridge design , reinforcement planning and etc.

Requirements:
You’ve either already got it or it’s FREE. Here’s the checklist:
No extensive prior knowledge of Python is required
Your enthusiasm to learn this go-to programming language
A desire to learn new concepts like Python coding
A passion for decision making and optimisation
A computer - Windows, Mac, and Linux are all supported
Setup and installation instructions are included for each platform.
No need for any licence to run your codes
It’s a valuable lifetime skill which you can’t un-learn!

Description:
**Brand New For Feb 2021 - Pyomo Bootcamp: Python Optimization from Beginner to Advance Course on Udemy**
Join your 55000 fellow researchers and experts in operation research industry in learning the fundamentals of the optimal decision making and optimization.
Learn Pyomo in 3 days.
What is Pyomo used for ?
What does Pyomo stand for ? 
In Pyomo Open source ?
How do I download Pyomo ? 
If you just want to learn Python then this course is not for you
if you want to learn Optimization modeling in Python then Welcome to the Pyomo Bootcamp: Python Optimization from Beginner to Advance course!
Learn
Linear programming (LP)
Mixed Integer Programming (MILP) 
Non-linear Programming (NLP)
Multi-objective Optimization
Formulating the optimization problems



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Udemy - Pyomo Bootcamp - Python Optimization from Beginner to Advance

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1.8 GB
seeders:14
leechers:5
Udemy - Pyomo Bootcamp - Python Optimization from Beginner to Advance

Torrent hash: 12528D9286068BC97BBEEDE52ACB470F6538078E