Continuous Linear Programming ============================================= In this chapter, we will cover both theoretical and practical topics related to Continuous Linear Programming (CLP) using Python. CLP allows us to model, solve and analyse the solution of optimization problems using linear equations. "The world is not linear" but still, CLP is a really powerful tool to solve a pletora of real world optimisation problems. Tutorials __________ This section contains some basic tutorials: .. toctree:: :maxdepth: 2 :caption: Contents: :glob: :titlesonly: Continuous Linear Programming introduction Graphic Solution in Python Interactive Graphic Solution Duality Simplex, Graphic explanation Simplex, Interactive Tableau Sensitivity - Algebraic explanation Interactive Sensitivity Analysis Exercises __________ In this section you have a collection of CLP problems sorted by difficulty: - **Easy problems**: You can tackle these problems after a first introduction to CLP. - **Normal problems**: These problems require that you are familiar with concepts like Duality and the Simplex method. - **Hard problems**: This is the type of problems that definitively get you ready for the exam. .. toctree:: :maxdepth: 2 :caption: Contents: :glob: :titlesonly: 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) Solved Exercises __________________ In this section you have the solution to the different exercises. .. toctree:: :maxdepth: 2 :caption: Contents: :glob: :titlesonly: 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) Python libraries ________________ This section contains Python library tutorials: .. toctree:: :maxdepth: 2 :caption: Contents: :glob: :titlesonly: PuLP Scipy's LinProc