Notebooks

• AMPL - solve multiple models in parallel
• AMPL - spreadsheet handling with amplxl
• AMPL Bin Packing Problem with GCG
• AMPL Capacitated p-Median Problem with GCG
• AMPL Christmas Model created by ChatGPT
• AMPL Development Tutorial 1/6 – Capacitated Facility Location Problem
• AMPL Development Tutorial 2/6 – Stochastic Capacitated Facility Location Problem
• AMPL Development Tutorial 3/6 – Benders Decomposition via AMPL scripting
• AMPL Development Tutorial 4/6 – Benders Decomposition via PYTHON scripting
• AMPL Development Tutorial 5/6 – Parallelizing Subproblem Solves in Benders Decomposition
• AMPL Development Tutorial 6/6 – Implementing Benders Decomposition with ampls
• AMPL Model Colaboratory Template
• Aircrew trainee scheduling with seniority constraints
• Balanced Task Assignment with Inverse Cost Scaling
• 1. Download Necessary Extensions and Libraries
• 2. Mathematical Formulation
• 3. AMPL Model Formulation
• 4. Load data
• 5. Solve problem
• 6. Retrieve solution in Python
• Book Example: Economic equilibria
• Book Example: Transshipment problem
• Book Example: diet
• Book Example: prod
• Book Example: steel
• Book Example: transp
• CP-style scheduling model with the numberof operator, solved by a MIP solver
• Capacity expansion of power generation
• Containers scheduling
• Debugging Model Infeasibility
• Diet and Other Input Models: Minimizing Costs
• Diet model with Google Sheets
• Dual-Donor Organ Exchange problem
• Dynamic routing example
• Efficient Frontier with Google Sheets
• Employee Scheduling Optimization
• Enhanced Sector ETF Portfolio Optimization with Multiple Strategies in Python with AMPL
• Financial Portfolio Optimization with amplpy
• Google Hashcode 2022
• Hospitals-Residents MIP
• Hydrothermal Scheduling Problem with Conic Programming
• Introduction to Linear and Integer Programming
• Introduction to Mathematical Optimization
• Jupyter Notebook Integration
• Labs scheduling
• Largest small polygon
• Logistic Regression with amplpy
• Magic sequences
• Multicommodity transportation problem
• N-Queens
• NFL Team Rating
• Network Linear Programs
• Network design with redundancy
• Nonlinear transportation model
• Nonlinear transportation problem example
• Oil refinery production optimization
• Oil refinery production optimization (+PowerBI)
• Oil refinery production optimization (ampl-only version)
• Optimal Power Flow with AMPL and Python - Bus Injection Model (BIM)
• Optimal Power Flow with AMPL and Python - Bus Injection Model (BIM) with controllable-phase shifting transformers and tap-changing transformers
• Optimal Power Flow with AMPL and Python - DC Power Flow
• Optimal Power Flow with AMPL and Python - conventional Power Flow
• Optimal Power Flow with AMPL and Python - data management
• Optimization Methods in Finance: Chapter 3
• Optimization of Reinforced Concrete Production and Shipment: A Conveyor-Based Manufacturing and Curing Model
• Optimization of an TV advertising campaign based on TRP, GRP indicators
• Optimization of an advertising campaign for launching a new product on the market
• Optimize your Christmas Tree to Global Optimality
• Optimized Portfolio Optimization using EIA Data in Python with AMPL
• Optimizing Procurement and Sales Strategies for a Retail Chain with Supplier Payment Schemes
• 1. Problem Statement
• Optimizing the number of staff in a chain of stores
• P-Median problem
• Pairs Trading Strategy Optimization in Python with AMPL
• Pattern Enumeration
• Pattern Generation
• Plot feasible region
• Porfolio Optimization with Multiple Risk Strategies in Python with AMPL
• Power System Optimization with Amplpower package
• Pricing Optimization (Price Elasticity of Demand)
• 1. Model Description
• 2. Download Necessary Extensions and Libraries
• 3. Approach#1 (Optimal nodal point)
• 4. Approach#2 (Maximum demand for optimal price)
• 5. Approach#3 (Using the built-in AMPL piecewise linear function)
• 6. Function Refinement (linear interpolation of data between nodes)
• 7. Retrieve solution in Python
• 8. Comparison of performance of different approaches
• 9. Visualization of the data and solution
• Pricing and target-market
• Production Model: lemonade stand example
• Production model
• Profit Maximization for Developers: Optimizing Pricing, Marketing, and Investment Strategies
• Project management: Minimize project costs by balancing task costs, risks, and late penalties.
• Quick Start using Pandas dataframes
• Quick Start using lists and dictionaries
• Retrieve Solution pool with AMPL and Gurobi
• Robust Linear Programming with Ellipsoidal Uncertainty
• Roll Cutting - Revision 1 & 2
• Scheduling Multipurpose Batch Processes using State-Task Networks in Python
• Simple sudoku solver using logical constraints (with GUI)
• Smart Pipeline Diagnostics
• Solution check: discontinuous objective function
• Solving a nonogram puzzle
• Solving simple stochastic optimization problems with AMPL
• Steel industry problem
• Sudoku Generator
• Supply chain network
• Transportation problem
• Travelling Salesman Problem with subtour elimination
• Unit Commitment Problem with AMPL and Python - Power Grid Lib
• Unit Commitment for Electrical Power Generation
• VPSolver: Cutting & Packing Problems
• Warehouse location and transport
• amplpy setup & Quick Start