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Optimization with Python Solve Operations Research Problems
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[TutsNode.com] - Optimization with Python Solve Operations Research Problems (Size: 3.00 GB) (Files: 358)
[TutsNode.com] - Optimization with Python Solve Operations Research Problems
12 - Advanced Features for Pyomo
001 Introduction and a new Case Study (hands-on).mp4
35532022-CBC-manual-and-parameters.pdf
002 Check the solver progress_en.srt
001 Introduction and a new Case Study (hands-on)_en.srt
010 Rules with indexes_en.srt
003 Define a Gap Limit_en.srt
35532010-glpk.pdf
008 Parameters and Sets_en.srt
004 Define a Time Limit_en.srt
012 Differential Algebraic Equations (DAE)_en.srt
009 Rules inside Constraints_en.srt
006 Working with inequality_en.srt
005 More parameters for the solvers.html
007 pyo.summation_en.srt
011 WarmStart_en.srt
33912172-features-rules.py
33911722-features-param-sets.py
33912170-features-rules-before.py
33911694-features-TimeLimit.py
33911678-features-GAP.py
33911698-features-inequality.py
33911704-features-summation-before.py
33911648-features-solverProgress.py
33911672-features-GAP-before.py
33911708-features-summation.py
33911716-features-param-sets-before.py
33911592-features-casestudy.py
33911640-features-solverProgress-before.py
010 Rules with indexes.mp4
003 Define a Gap Limit.mp4
008 Parameters and Sets.mp4
012 Differential Algebraic Equations (DAE).mp4
002 Check the solver progress.mp4
004 Define a Time Limit.mp4
006 Working with inequality.mp4
009 Rules inside Constraints.mp4
007 pyo.summation.mp4
011 WarmStart.mp4
10 - Constraint Programming (CP)
002 CP_ Concepts.html
001 CP_ Ortools_en.srt
33101364-ex-CP-ortools.py
33913006-Constraint-Programming.pdf
001 CP_ Ortools.mp4
06 - Working with Pyomo
002 Pyomo_ Summations.mp4
002 Pyomo_ Summations_en.srt
32608856-inputs.xlsx
001 Pyomo_ Using other solvers (CBC)_en.srt
003 Pyomo_ Pprint_en.srt
004 Pyomo_ Manual.html
33101274-ex-pyomo-array-sum.py
001 Pyomo_ Using other solvers (CBC).mp4
33434404-cbc.zip
33108978-Pyomo-Slides-Sandia-National-Laboratories-free-content.pdf
003 Pyomo_ Pprint.mp4
33108968-Pyomo-Documentation.pdf
05 - Linear Programming (LP)
33907028-0-Mathematical-Programming.pdf
33907054-2-Duality-Theory.pdf
005 LP_ Gurobi, CPLEX, and GLPK (installation)_en.srt
006 LP_ Pyomo (using Gurobi, CPLEX, and GLPK)_en.srt
003 LP_ Ortools_en.srt
004 LP_ SCIP_en.srt
007 LP_ PuLP_en.srt
002 Framework and Solvers_en.srt
001 LP_ Introduction_en.srt
010 LP_ Concepts.html
33101210-ex-LP-ortools.py
33101214-ex-LP-scip.py
33101230-ex-LP-pyomo.py
33101240-ex-LP-pulp.py
33101252-ex-LP-exercise.py
008 Which solver and frameworks should we choose__en.srt
009 LP_ Exercise, solve it by yourself.mp4
005 LP_ Gurobi, CPLEX, and GLPK (installation).mp4
006 LP_ Pyomo (using Gurobi, CPLEX, and GLPK).mp4
004 LP_ SCIP.mp4
003 LP_ Ortools.mp4
33434418-winglpk-4.65.zip
007 LP_ PuLP.mp4
001 LP_ Introduction.mp4
008 Which solver and frameworks should we choose_.mp4
002 Framework and Solvers.mp4
33907038-1-LP-concepts.pdf
02 - Installing Python
001 Installing Python_en.srt
002 Packages_en.srt
003 IDE Spyder_en.srt
004 Jupyter Notebook_Lab_en.srt
001 Installing Python.mp4
003 IDE Spyder.mp4
004 Jupyter Notebook_Lab.mp4
002 Packages.mp4
13 - More exercises and modeling
002 Garden problem_en.srt
004 Route problem [subtitled]_en.srt
32779002-sist-eletrico.xlsx
005 Optimal power flow problem [subtitled]_en.srt
32608890-rotas-input.xlsx
003 Revenue problem_en.srt
33101368-examples-opflinear.py
001 Introduction_en.srt
33101376-examples-route.py
33101372-examples-receita.py
32608888-ex-area.py
33101366-examples-area.py
002 Garden problem.mp4
005 Optimal power flow problem [subtitled].mp4
004 Route problem [subtitled].mp4
003 Revenue problem.mp4
001 Introduction.mp4
04 - Introduction to mathematical modelling
36020664-TSP-Simple-Literature-Review.pdf
36020652-JobShopSchedulling-Article.pdf
009 Example 4_ route problem_en.srt
009 Example 4_ route problem.mp4
007 Example 2_ investiment_en.srt
008 Example 3_ production cost_en.srt
012 Example 7_ job assignment_en.srt
002 How do we solve optimization problems__en.srt
004 Objective Function and Constraints_en.srt
010 Example 5_ construction assignment_en.srt
005 How to model your problem__en.srt
36020666-VRPTW.pdf
006 Example 1_ investiment_en.srt
003 Type of Variables_en.srt
013 Example 8_ job assignment_en.srt
015 Some references for you learn more (problems of VRPTW, TSP, JobShop...).html
36020614-ex1-investiment.py
36020622-ex2-investiment.py
36020624-ex3-cost-of-production.py
36020632-ex3-cost-of-production-with-binary.py
36020638-ex5-construction.py
36020640-ex6-construction-binary.py
36020644-ex7-jobs.py
36020650-ex8-jobs-with-limit.py
011 Example 6_ construction assignment_en.srt
36020670-ex4-route.py
014 How to Learn More__en.srt
001 What is Mathematical Modelling__en.srt
012 Example 7_ job assignment.mp4
36020660-TSP-Book-Chapter.pdf
007 Example 2_ investiment.mp4
008 Example 3_ production cost.mp4
010 Example 5_ construction assignment.mp4
011 Example 6_ construction assignment.mp4
006 Example 1_ investiment.mp4
013 Example 8_ job assignment.mp4
003 Type of Variables.mp4
014 How to Learn More_.mp4
001 What is Mathematical Modelling_.mp4
002 How do we solve optimization problems_.mp4
004 Objective Function and Constraints.mp4
36020656-JobShopSchedulling-Book.pdf
005 How to model your problem_.mp4
11 - Special Cases
002 SCOP_ Second-Order Cone Programming_en.srt
005 Linearization_ binary_continuos using BigM_en.srt
003 NonConvex Quadratic Programming_en.srt
006 Linearization_ binary_binary_en.srt
004 Vehicle Routing Problems (VRP) with Or-Tools, An introduction_en.srt
001 Introduction_en.srt
34172722-Special-BinBin-GLPK.py
33782382-Special-BinCont-BIGM.py
34172728-Special-BinBin-Gurobi.py
33782388-Special-BinCont-Gurobi.py
33782374-Special-NCQP.py
33782370-Special-SOCP.py
33782372-original-problem.py
33782378-original-problem.py
33782528-original-problem.py
002 SCOP_ Second-Order Cone Programming.mp4
005 Linearization_ binary_continuos using BigM.mp4
006 Linearization_ binary_binary.mp4
004 Vehicle Routing Problems (VRP) with Or-Tools, An introduction.mp4
003 NonConvex Quadratic Programming.mp4
001 Introduction.mp4
14 - Conclusion
001 Congratulation_en.srt
001 Congratulation.mp4
09 - Mixed-Integer Nonlinear Programming (MINLP)
33101356-ex-MINLP-scip.py
005 MINLP_ Genetic Algorithm_en.srt
007 MINLP_ Particle Swarm (PSO)_en.srt
002 MINLP_ Pyomo (Couenne)_en.srt
003 MINLP_ Pyomo (decomposition using mindtpy)_en.srt
004 MINLP_ SCIP_en.srt
001 MINLP_ Introduction_en.srt
33101360-ex-GA.py
33101350-ex-MINLP-pyomo.py
33101352-ex-MINLP-pyomo-mindtpy.py
33101362-ex-PSO.py
006 MINLP_ Genetic Algorithm Concepts.html
008 MINLP_ PSO Concepts.html
002 MINLP_ Pyomo (Couenne).mp4
33434420-couenne.zip
005 MINLP_ Genetic Algorithm.mp4
003 MINLP_ Pyomo (decomposition using mindtpy).mp4
007 MINLP_ Particle Swarm (PSO).mp4
33907232-GA-concepts.pdf
004 MINLP_ SCIP.mp4
001 MINLP_ Introduction.mp4
33907256-PSO-concepts.pdf
03 - Starting with Python
008 PDFs to learn more about Python.html
32608798-myFile.py
33101168-ex-function.py
33101174-ex-numpy.py
33101176-ex-pandas.py
33101190-ex-pandas-excel.py
33101198-ex-graphs.py
002 If, For, While_en.srt
32608776-data.xlsx
005 Pandas_en.srt
001 Lists, Tuples, and Dictionary_en.srt
006 Pandas_ reading Excel_en.srt
004 Numpy_en.srt
32608778-output.xlsx
003 Functions_en.srt
007 Graphs_en.srt
33912962-python-basics.pdf
002 If, For, While.mp4
006 Pandas_ reading Excel.mp4
001 Lists, Tuples, and Dictionary.mp4
005 Pandas.mp4
004 Numpy.mp4
003 Functions.mp4
007 Graphs.mp4
33912964-Learn-to-Program-with-Python.pdf
07 - Mixed-Integer Linear Programming (MILP)
006 MILP_ Exercise solution_en.srt
002 MILP_ Pyomo_en.srt
005 MILP_ Exercise, solve it by yourself.mp4
001 MILP_ Introduction_en.srt
004 MILP_ SCIP_en.srt
003 MILP_ Ortools_en.srt
007 MILP_ Concepts.html
33101318-ex-MILP-pyomo.py
33101326-ex-MILP-ortools.py
33101328-ex-MILP-scip.py
33101334-ex-MILP-exercise.py
006 MILP_ Exercise solution.mp4
33434408-winglpk-4.65.zip
33434416-cbc.zip
002 MILP_ Pyomo.mp4
004 MILP_ SCIP.mp4
003 MILP_ Ortools.mp4
001 MILP_ Introduction.mp4
33907058-MILP-concepts.pdf
01 - Introduction to the course
002 What is optimization_en.srt
001 Introduction_en.srt
002 What is optimization.mp4
001 Introduction.mp4
36258273-Material.pdf
36258259-Material.pdf
08 - Nonlinear Programming (NLP)
005 NLP_ Exercise Solution_en.srt
33101342-ex-NLP-scip.py
002 NLP_ Pyomo (IPOPT)_en.srt
003 NLP_ SCIP_en.srt
001 NLP_ Introduction_en.srt
006 NLP_ Concepts.html
33101338-ex-NLP-pyomo.py
33101344-ex-NLP-exercise-cos.py
004 NLP_ Exercise, solve it by yourself.mp4
005 NLP_ Exercise Solution.mp4
002 NLP_ Pyomo (IPOPT).mp4
32608862-Ipopt-3.11.1-win64-intel13.1.zip
003 NLP_ SCIP.mp4
001 NLP_ Introduction.mp4
33907072-NLP-concepts.pdf
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