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Notebooks for Operations Research I documentation
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Notebooks for Operations Research I documentation

Contents

  • Introduction to Operations Research
    • Introduction to Python
    • The NumPy Library
    • The Matbplotlib Pyplot Library
    • Markdown Cells
    • Python for Operations Research II
    • Introduction to data manipulation and analysis with Pandas
  • Continuous Linear Programming
    • Continuous Linear Programming introduction
    • Graphic Solution in Python
    • Interactive Graphic Solution
    • Duality
    • Simplex, Graphic explanation
    • Simplex, Interactive Tableau
    • Sensitivity - Algebraic explanation
    • Interactive Sensitivity Analysis
    • All Gold Canyon (Easy modeling exercise)
    • The Good Carpenter (Easy modeling exercise)
    • Ski Patrol (Easy modeling exercise)
    • Production Mix Problem (Easy modeling exercise)
    • Making weapons (Easy modeling exercise)
    • Blending Cremanet (Easy modeling exercise)
    • Making Chappie (Normal modeling exercise)
    • Blending Craft Beer (Normal modeling exercise)
    • Blending Problem (Normal modeling and programming with PuLP)
    • Petroleum Blending (Normal Modeling exercise)
    • Fasting diet (Easy modeling exercise)
    • Bonus and merits (Normal modeling exercise)
    • Resourcing Product Mix of Aluminium Windows (Normal modeling, programming, and analysis)
    • The chilling adventures of Sabrina (Normal modeling problem)
    • Those damn interns (Normal analysis problem)
    • A software bug (Normal analysis problem)
    • Invincible nutritional (Normal modeling and analysis)
    • Manufacturing Solar Panels Revisited (analysis exercise)
    • March & Sanchis Investments (Normal modeling exercise)
    • March & Sanchis Investments Revisited (Normal analysis exercise)
    • Chappie II (Hard modeling problem)
    • The chilling adventures of Sabrina II (normal analysis problem)
    • Lost in Space (Easy modeling problem)
    • All Gold Canyon (Easy modeling exercise)
    • The Good Carpenter (Easy modeling exercise)
    • Ski Patrol (Easy modeling exercise)
    • Production Mix Problem (Easy modeling exercise)
    • Making Chappie (Normal modeling exercise)
    • Making weapons (Easy modeling exercise)
    • Blending Craft Beer (Normal modeling exercise)
    • Blending Problem (Normal modeling exercise)
    • Petroleum Blending (Normal modeling exercise)
    • Fasting diet (Easy Modeling exercise)
    • Bonus and merits (Normal modeling exercise)
    • Resourcing Product Mix of Aluminium Windows (Normal modeling)
    • The chilling adventures of Sabrina (Normal modeling problem)
    • Those damn interns (Normal analysis problem)
    • A software bug (Normal analysis problem)
    • Invincible nutritional (Normal modeling and analysis)
    • Manufacturing Solar Panels Revisited (analysis exercise)
    • March & Sanchis Investments (Normal modeling exercise)
    • Chappie II (Hard Modeling exercise)
    • The chilling adventures of Sabrina II (normal analysis problem)
    • Lost in Space (Easy modeling problem)
    • PuLP
    • Scipy's LinProc
  • Mixed Integer Programming
    • Introduction to Combinatorial Optimization
    • Algorithm Efficiency Assessment
    • Genetic Algorithms
    • Solving Sudoku's with a Genetic Algorithm
    • Introduction to Mixed Integer Programming
    • MIP in Python using PuLP
    • Transportation Problems
    • Graph Theory tutorial
    • Graph Theory tutorial: Routing
    • Tarmacking shifts (Easy MIP modeling exercise)
    • Allocation Orders to Machines (Easy MIP modeling exercise)
    • Planning production and inventories (Normal MIP modeling exercise)
    • Truck Deliveries (Easy MIP transportation problem modeling exercise)
    • Arcadia Deliveries (Normal MIP transportation problem modeling exercise)
    • Distribution Problem Example (Normal MIP modeling exercise)
    • Transport Planning (Normal MIP modeling exercise)
    • Plastic Injection Production Planning (Hard MIP modeling exercise)
    • Machinery Transport Planning (normal graph theory exercise)
    • Overbooking (normal graph theory exercise)
    • Production Planning (normal graph theory exercise)
    • Production Sequencing (normal graph theory)
    • Planet Express Deliveries (normal transportation problem)
    • Earth's Fleet Assignment (normal MIP and graph theory problem)
    • 3D Printing Precision Parts (normal MIP modeling exercise)
    • Spellman's Network Optimization (Normal transportation problem)
    • Professor's X School Network Optimization (Normal transportation problem)
    • Tarmacking shifts (Easy modeling exercise)
    • Planning production and inventories (Normal modeling exercise)
    • Allocation Orders to Machines (Easy modeling exercise)
    • Truck Deliveries (Easy transport exercise)
    • Arcadia Deliveries (Normal MIP transportation problem modeling exercise)
    • Distribution Problem Example (Normal modeling exercise)
    • Transport Planning (Normal modeling exercise)
    • Plastic Injection Production Planning (Hard MIP modeling exercise)
    • Machinery Transport Planning (normal graph theory exercise)
    • Overbooking (normal graph theory exercise)
    • Production Planning (normal graph theory exercise)
    • Production Sequencing (normal graph theory)
    • Planet Express Deliveries (normal transportation problem)
    • 3D Printing Precision Parts (normal MIP modeling exercise)
    • Spellman's Network Optimization (Normal transportation problem)
    • Professor's X School Network Optimization (Normal transportation problem)
    • MIP with Python
    • Networkx Tutorial
  • Non-Linear Programming
    • Introduction to Non-Linear Programming
    • Unconstrained NLP
    • Gradient descent methods
    • Interactive Gradient-Descent in Python
    • Questions
    • Constrained NLP
    • Introduction to machine learning
    • Quadratic Optimization and Machine Learning
    • Support Vector Machines
    • Planning the construction of homes (easy)
    • Car Production Planning (normal)
    • Nova Case (normal)
    • Maximising investments of a startup (hard)
    • Planning refreshments production (hard)
    • Production Mix of Pharma (normal)
    • Optimising the design of headphones (normal)
    • Mathematical Nirvana (normal)
    • Planning the construction of homes (easy)
    • Car Production Planning (normal)
    • Nova Case (normal)
    • Maximising investments of a startup (hard)
    • Planning refreshments production (hard)
    • Production Mix of Pharma (normal)
    • Optimising the design of headphones (normal)
    • Mathematical Nirvana (normal)
  • Decision Theory and Game Theory
    • Introduction to Decision Theory
    • Decision Trees
    • Decision Trees and machine learning
    • Decision Trees with SciKit Learn
    • Starting Five (Normal)
    • Training Pokemon (Normal)
    • Planning a Factory Site (Hard)
    • Select suppliers (Hard)
    • Blind wine tasting (Normal)
    • The Eye of Agamoto (Normal)
    • Starting Five (Normal)
    • Training Pokemon (Normal)
    • Planning a Factory Site (Hard)
    • Select suppliers (Hard)
    • Blind wine tasting (Normal)
    • The Eye of Agamoto (Normal)
    • Beer Prices in Paradise Beach (Normal)
    • Products Improvement (Normal)
    • Setting Oil Prices in the 70s (Normal)
    • Developing a High-Tech Product (Normal)
    • Investments Strategy (Normal)
    • Playing Bluff (Normal)
    • The Squid Game (Normal)
    • Strategies for Political Campaigns (Normal)
    • Beer Prices in Paradise Beach (Normal)
    • Products Improvement (Normal)
    • Setting Oil Prices in the 70s (Normal)
    • Developing a High-Tech Product (Normal)
    • Investments Strategy (Normal)
    • Playing Bluff (Normal)
    • The Squid Game (Normal)
    • Strategies for Political Campaigns (Normal)
  • Simulation and Markov Chains
    • Introduction to Simulation
    • Introduction to Markov chains
    • Commission sales (Easy simulation exercise)
    • Return of investment in Search Engine Optimisation (Easy simulation exercise)
    • Commission sales (Easy simulation exercise)
    • Return of investment in Search Engine Optimisation (Easy simulation exercise)
    • Consultancy Firm (Easy modeling exercise)
    • Alien Virus (Normal modeling exercise)
    • Bob´s Burger and Pesto's (Normal modeling exercise)
    • Distribution of Operators in Workshop Areas (Normal modeling exercise)
    • Replacing a car (Normal modeling exercise)
    • Machine Control System (Hard modeling exercise)
    • Computer virus threat management (normal modeling exercise)
    • Consultancy Firm (Easy modeling exercise)
    • Alien Virus (Normal modeling exercise)
    • Bob´s Burger and Pesto's (Normal modeling exercise)
    • Distribution of Operators in Workshop Areas (Normal modeling exercise)
    • Replacing a car (Normal modeling exercise)
    • Machine Control System (Hard modeling exercise)
    • Computer virus threat management (normal modeling exercise)
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