# TagsΒΆ

- ampl (3 notebooks)
- ampl-book (10 notebooks)
- ampl-lecture (3 notebooks)
- ampl-only (17 notebooks)
- 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
- Diet lecture
- Dual-Donor Organ Exchange problem
- Multicommodity transportation problem
- Nonlinear transportation model
- Nonlinear transportation problem example
- Production model
- Solving a nonogram puzzle
- Steel industry problem
- Transportation problem

- amplpy (29 notebooks)
- AMPL - solve multiple models in parallel
- AMPL Bin Packing Problem with GCG
- AMPL Capacitated p-Median Problem with GCG
- AMPL Christmas Model created by ChatGPT
- AMPL Model Colaboratory Template
- Diet model with Google Sheets
- Dynamic routing example
- Efficient Frontier with Google Sheets
- Employee Scheduling Optimization
- Financial Portfolio Optimization with amplpy
- Google Hashcode 2022
- Hospitals-Residents MIP
- Hydrothermal Scheduling Problem with Conic Programming
- Jupyter Notebook Integration
- Largest small polygon
- Logistic Regression with amplpy
- N-Queens
- NFL Team Rating
- Optimization Methods in Finance: Chapter 3
- Pattern Enumeration
- Pattern Generation
- Quick Start using Pandas dataframes
- Quick Start using lists and dictionaries
- Roll Cutting - Revision 1 & 2
- Simple sudoku solver using logical constraints (with GUI)
- Solving simple stochastic optimization problems with AMPL
- Sudoku Generator
- Unit Commitment for Electrical Power Generation
- amplpy setup & Quick Start

- amplpyfinance (1 notebook)
- amplxl (1 notebook)
- assignment (1 notebook)
- bin-packing (1 notebook)
- bpp (1 notebook)
- branch-price-and-cut (2 notebooks)
- callbacks (1 notebook)
- chatgpt (1 notebook)
- christmas (1 notebook)
- classifier (1 notebook)
- complementarity-problem (1 notebook)
- complexity (1 notebook)
- conic (3 notebooks)
- constraint-programming (3 notebooks)
- cpmp (1 notebook)
- cutting-stock (1 notebook)
- dantzig-wolfe-decomposition (2 notebooks)
- data-structures (1 notebook)
- educational (3 notebooks)
- electric-grid (1 notebook)
- energy (2 notebooks)
- engineering (2 notebooks)
- example (7 notebooks)
- excel (1 notebook)
- exponential-cone (1 notebook)
- finance (4 notebooks)
- formulation-comparison (1 notebook)
- gcg (2 notebooks)
- geometry (1 notebook)
- geothermal-energy (1 notebook)
- google-sheets (2 notebooks)
- graphs (1 notebook)
- gui (2 notebooks)
- gurobi (2 notebooks)
- heuristics (2 notebooks)
- highlights (10 notebooks)
- AMPL Bin Packing Problem with GCG
- AMPL Capacitated p-Median Problem with GCG
- AMPL Christmas Model created by ChatGPT
- AMPL Model Colaboratory Template
- Logistic Regression with amplpy
- N-Queens
- Quick Start using Pandas dataframes
- Quick Start using lists and dictionaries
- Robust Linear Programming with Ellipsoidal Uncertainty
- Simple sudoku solver using logical constraints (with GUI)

- highs (1 notebook)
- hydropower (1 notebook)
- industry (4 notebooks)
- ipopt (1 notebook)
- lecture (1 notebook)
- log-sum-exp (1 notebook)
- lp (1 notebook)
- machine-learning (1 notebook)
- medicine (1 notebook)
- military (1 notebook)
- milp (2 notebooks)
- mip (6 notebooks)
- mixed-integer-linear (1 notebook)
- modeling-tips (1 notebook)
- mp-library (1 notebook)
- multiprocess (1 notebook)
- non-continuous-objective (1 notebook)
- non-linear (1 notebook)
- nonlinear (2 notebooks)
- nonlinear-programming (1 notebook)
- organ-exchange (1 notebook)
- pandas (1 notebook)
- parallel-computing (1 notebook)
- planning (1 notebook)
- power-generation (3 notebooks)
- pricing (1 notebook)
- puzzles (1 notebook)
- python (1 notebook)
- quadratic (1 notebook)
- quadratic-cone (2 notebooks)
- quick-start (2 notebooks)
- regression (1 notebook)
- regularization (1 notebook)
- risk-measures (1 notebook)
- sample-average-approximation (1 notebook)
- scheduling (3 notebooks)
- second-order-cone (2 notebooks)
- sigmoid (1 notebook)
- simple (1 notebook)
- softplus (1 notebook)
- solution-check (1 notebook)
- spreadsheet (1 notebook)
- stochastic-optimization (1 notebook)
- stochastic-programming (1 notebook)
- strict-comparison (1 notebook)
- template (1 notebook)
- tsp (1 notebook)
- unit-commitment (1 notebook)
- vector-packing (1 notebook)
- xlsx (1 notebook)