| A Party Scheduling Problem with FICO Xpress |
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| AMPL - solve multiple models in parallel |
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| AMPL - spreadsheet handling with amplxl |
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| AMPL Bin Packing Problem with GCG |
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| AMPL Capacitated p-Median Problem with GCG |
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| AMPL Christmas Model created by ChatGPT |
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| AMPL Development Tutorial 1/6 -- Capacitated Facility Location Problem |
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| AMPL Development Tutorial 2/6 -- Stochastic Capacitated Facility Location Problem |
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| AMPL Development Tutorial 3/6 -- Benders Decomposition via AMPL scripting |
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| AMPL Development Tutorial 4/6 -- Benders Decomposition via PYTHON scripting |
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| AMPL Development Tutorial 5/6 -- Parallelizing Subproblem Solves in Benders Decomposition |
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| AMPL Development Tutorial 6/6 -- Implementing Benders Decomposition with ampls |
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| AMPL Model Colaboratory Template |
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| Aircrew trainee scheduling with seniority constraints |
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| Balanced Task Assignment with Inverse Cost Scaling |
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| Battery Energy Storage System (BESS) Evaluation Model |
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| Bilevel Markets |
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| Bilevel Optimization Introduction |
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| Book Example: Economic equilibria |
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| Book Example: Transshipment problem |
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| Book Example: diet |
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| Book Example: prod |
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| Book Example: steel |
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| Book Example: transp |
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| CP-style scheduling model with the numberof operator, solved by a MIP solver |
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| Capacity expansion of power generation |
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| Containers scheduling |
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| Debugging Model Infeasibility |
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| Demand prediction and Optimization with scikit-learn & Amplpy |
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| Diagnose infeasibility |
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| Diet and Other Input Models: Minimizing Costs |
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| Diet model with Google Sheets |
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| Dual-Donor Organ Exchange problem |
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| Dynamic routing example |
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| Economic equilibria problem with PATH solver |
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| Efficient Frontier with Google Sheets |
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| Employee Scheduling Optimization |
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| Enhanced Sector ETF Portfolio Optimization with Multiple Strategies in Python with AMPL |
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| Financial Portfolio Optimization with amplpy |
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| Formula 1 Scheduling and Routing Optimization |
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| Google Hashcode 2022 |
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| Hospitals-Residents MIP |
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| Hydrothermal Scheduling Problem with Conic Programming |
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| Identifying active constraints with Ampl |
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| Introduction to Linear and Integer Programming |
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| Introduction to Mathematical Optimization |
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| Jupyter Notebook Integration |
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| Labs scheduling |
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| Largest small polygon |
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| Logistic Regression with amplpy |
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| Magic sequences |
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| MineLib in AMPL and amplpy |
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| Minimize the Pairwise Distance Ratio for N Points |
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| Multi-Objective Knapsack Problem with AMPLPY |
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| Multicommodity transportation problem |
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| N-Queens |
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| NFL Team Rating |
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| Network Linear Programs |
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| Network design with redundancy |
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| Nonlinear transportation model |
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| Nonlinear transportation problem example |
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| Oil refinery production optimization |
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| Oil refinery production optimization (+PowerBI) |
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| Oil refinery production optimization (ampl-only version) |
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| Optimal Power Flow with AMPL and Python - Bus Injection Model (BIM) |
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| Optimal Power Flow with AMPL and Python - Bus Injection Model (BIM) with controllable-phase shifting transformers and tap-changing transformers |
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| Optimal Power Flow with AMPL and Python - DC Power Flow |
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| Optimal Power Flow with AMPL and Python - conventional Power Flow |
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| Optimal Power Flow with AMPL and Python - data management |
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| Optimization Methods in Finance: Chapter 3 |
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| Optimization of Reinforced Concrete Production and Shipment: A Conveyor-Based Manufacturing and Curing Model |
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| Optimization of an TV advertising campaign based on TRP, GRP indicators |
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| Optimization of an advertising campaign for launching a new product on the market |
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| Optimize your Christmas Tree to Global Optimality |
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| Optimized Portfolio Optimization using EIA Data in Python with AMPL |
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| Optimizing Procurement and Sales Strategies for a Retail Chain with Supplier Payment Schemes |
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| Optimizing the number of staff in a chain of stores |
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| P-Median problem |
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| Paintshop Color Change Scheduling with FICO Xpress |
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| Pairs Trading Strategy Optimization in Python with AMPL |
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| Pattern Enumeration |
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| Pattern Generation |
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| Plot feasible region |
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| Pooling Problem with Nonlinear and Setup Costs |
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| Porfolio Optimization with Multiple Risk Strategies in Python with AMPL |
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| Portfolio Optimization: Factor Model |
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| Power Generation Portfolio Optimization |
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| Power System Optimization with Amplpower package |
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| Predicting and Optimizing Avocado Sales with Python + Amplpy |
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| Pricing Optimization (Price Elasticity of Demand) |
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| Pricing and target-market |
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| Production Model: lemonade stand example |
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| Production model |
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| Profit Maximization for Developers: Optimizing Pricing, Marketing, and Investment Strategies |
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| Project management: Minimize project costs by balancing task costs, risks, and late penalties. |
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| Quick Start using Pandas dataframes |
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| Quick Start using lists and dictionaries |
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| Refinery production and shadow pricing |
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| Retrieve Solution pool with AMPL and Gurobi |
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| Robust Linear Programming with Ellipsoidal Uncertainty |
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| Roll Cutting - Revision 1 & 2 |
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| Scheduling Multipurpose Batch Processes using State-Task Networks in Python |
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| Simple sudoku solver using logical constraints (with GUI) |
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| Smart Pipeline Diagnostics |
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| Solution check: discontinuous objective function |
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| Solving a nonogram puzzle |
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| Solving simple stochastic optimization problems with AMPL |
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| Steel industry problem |
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| Sudoku Generator |
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| Supply chain network |
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| Transportation problem |
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| Travelling Salesman Problem with subtour elimination |
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| Unit Commitment MINLP with Knitro |
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| Unit Commitment Problem with AMPL and Python - Power Grid Lib |
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| Unit Commitment for Colombia's Energy Market |
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| Unit Commitment for Electrical Power Generation |
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| Using multiple objectives in your model |
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| VPSolver: Cutting & Packing Problems |
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| Vehicle Routing Problem with Fair Profits and Time Windows (VRP-FPTW) |
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| Warehouse location and transport |
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| Warm start solvers with snapshot |
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| amplpy setup & Quick Start |
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