# Tags#

- advertisement (2 notebooks)
- aircrew-scheduling (1 notebook)
- ampl (21 notebooks)
- AMPL - solve multiple models in parallel
- AMPL - spreadsheet handling with amplxl
- 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* - Debugging Model Infeasibility
- Introduction to Linear and Integer Programming
- Introduction to Mathematical Optimization
- Network Linear Programs
- 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 of Reinforced Concrete Production and Shipment: A Conveyor-Based Manufacturing and Curing Model
- Production Model
- Project management: Minimizing the cost of implementing an investment project, taking into account the costs and risks of completing tasks and penalties for late fulfillment of obligations.
- Solving simple stochastic optimization problems with AMPL

- ampl-book (10 notebooks)
- ampl-lecture (7 notebooks)
- ampl-only (21 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
- Oil refinery production optimization (ampl-only version)
- Optimization of an TV advertising campaign based on TRP, GRP indicators
- Optimization of an advertising campaign for launching a new product on the market
- Production model
- Profit Maximization for Developers: Optimizing Pricing, Marketing, and Investment Strategies
- Solving a nonogram puzzle
- Steel industry problem
- Transportation problem

- amplpy (50 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 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
- Containers scheduling
- Debugging Model Infeasibility
- 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
- Introduction to Linear and Integer Programming
- Introduction to Mathematical Optimization
- Jupyter Notebook Integration
- Largest small polygon
- Logistic Regression with amplpy
- N-Queens
- NFL Team Rating
- Network Linear Programs
- 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
- Optimize your Christmas Tree to Global Optimality
- Optimizing the number of staff in a chain of stores
- P-Median problem
- Pattern Enumeration
- Pattern Generation
- Production Model
- 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)
- ampls (1 notebook)
- amplxl (1 notebook)
- arithmetic (1 notebook)
- assignment (1 notebook)
- batch-processes (1 notebook)
- batch-processing (1 notebook)
- benders (4 notebooks)
- 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*

- bin-packing (2 notebooks)
- bpp (1 notebook)
- branch-price-and-cut (2 notebooks)
- callbacks (1 notebook)
- cbc (7 notebooks)
- Magic sequences
- 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
- Optimizing the number of staff in a chain of stores
- Profit Maximization for Developers: Optimizing Pricing, Marketing, and Investment Strategies
- Project management: Minimizing the cost of implementing an investment project, taking into account the costs and risks of completing tasks and penalties for late fulfillment of obligations.

- chatgpt (1 notebook)
- christmas (2 notebooks)
- classifier (1 notebook)
- complementarity-problem (1 notebook)
- complexity (1 notebook)
- concrete-production (1 notebook)
- conic (3 notebooks)
- constraint-programming (5 notebooks)
- construction-management (1 notebook)
- convexity (1 notebook)
- conveyor-based-manufacturing (1 notebook)
- cpmp (1 notebook)
- cutting-stock (2 notebooks)
- dantzig-wolfe-decomposition (2 notebooks)
- data-analysis (1 notebook)
- data-driven-model (1 notebook)
- data-science (1 notebook)
- data-structures (1 notebook)
- debug (1 notebook)
- decision-making (1 notebook)
- decomposition (4 notebooks)
- 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
- Optimization of Reinforced Concrete Production and Shipment: A Conveyor-Based Manufacturing and Curing Model

- deterministic-model (2 notebooks)
- disjunctive-programming (1 notebook)
- educational (4 notebooks)
- electric-grid (1 notebook)
- employee-scheduling (1 notebook)
- energy (2 notebooks)
- engineering (2 notebooks)
- example (7 notebooks)
- excel (2 notebooks)
- exponential-cone (1 notebook)
- facility-location (9 notebooks)
- 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* - Labs scheduling
- P-Median problem
- Warehouse location and transport

- finance (4 notebooks)
- formulation-comparison (1 notebook)
- gcg (2 notebooks)
- gdp (1 notebook)
- gecode (1 notebook)
- geometry (1 notebook)
- geothermal-energy (1 notebook)
- gilmore-gomory (1 notebook)
- global-optimization (1 notebook)
- google-sheets (2 notebooks)
- graphs (4 notebooks)
- gui (2 notebooks)
- gurobi (3 notebooks)
- heuristics (2 notebooks)
- highlights (11 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
- Optimize your Christmas Tree to Global Optimality
- 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 (9 notebooks)
- Employee Scheduling Optimization
- Labs scheduling
- Magic sequences
- Oil refinery production optimization
- Oil refinery production optimization (+PowerBI)
- Oil refinery production optimization (ampl-only version)
- Optimizing the number of staff in a chain of stores
- P-Median problem
- Warehouse location and transport

- hydropower (1 notebook)
- indexing (1 notebook)
- industry (9 notebooks)
- Containers scheduling
- Oil refinery production optimization
- Oil refinery production optimization (+PowerBI)
- Oil refinery production optimization (ampl-only version)
- Pricing and target-market
- Production model
- Steel industry problem
- VPSolver: Cutting & Packing Problems

- infeasibility (1 notebook)
- introduction (4 notebooks)
- ipopt (1 notebook)
- json (1 notebook)
- lecture (1 notebook)
- lemonade-stand (2 notebooks)
- lexicographic-optimization (1 notebook)
- linear-programming (3 notebooks)
- log-sum-exp (1 notebook)
- lp (1 notebook)
- machine-learning (1 notebook)
- marketing (3 notebooks)
- max-flow (1 notebook)
- medicine (1 notebook)
- military (1 notebook)
- milp (1 notebook)
- mip (26 notebooks)
- 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* - Capacity expansion of power generation
- Containers scheduling
- Dual-Donor Organ Exchange problem
- Employee Scheduling Optimization
- Hospitals-Residents MIP
- Labs scheduling
- Magic sequences
- Oil refinery production optimization
- Oil refinery production optimization (+PowerBI)
- Oil refinery production optimization (ampl-only version)
- Optimization of an advertising campaign for launching a new product on the market
- Optimizing the number of staff in a chain of stores
- P-Median problem
- Pricing and target-market
- Profit Maximization for Developers: Optimizing Pricing, Marketing, and Investment Strategies
- Project management: Minimizing the cost of implementing an investment project, taking into account the costs and risks of completing tasks and penalties for late fulfillment of obligations.
- Solving a nonogram puzzle
- Sudoku Generator
- Warehouse location and transport

- mixed-integer-linear (4 notebooks)
- modeling-tips (1 notebook)
- mp (4 notebooks)
- mp-library (1 notebook)
- multi-objective (1 notebook)
- multiple-objectives (1 notebook)
- multiprocess (1 notebook)
- network (2 notebooks)
- networkx (1 notebook)
- non-continuous-objective (1 notebook)
- non-linear (1 notebook)
- nonlinear (2 notebooks)
- nonlinear-programming (1 notebook)
- oil-production (3 notebooks)
- optimal-power-flow (5 notebooks)
- 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 (1 notebook)
- organ-exchange (1 notebook)
- pandas (1 notebook)
- parallel-computing (1 notebook)
- parallel-solves (1 notebook)
- piecewise-linear (2 notebooks)
- planning (1 notebook)
- power-generation (3 notebooks)
- powerbi (1 notebook)
- preferential-bidding-system (1 notebook)
- price-optimization (1 notebook)
- pricing (1 notebook)
- production-optimization (3 notebooks)
- profitability (4 notebooks)
- project-management (1 notebook)
- puzzles (1 notebook)
- python (6 notebooks)
- AMPL - solve multiple models in parallel
- Optimal Power Flow with AMPL and Python - Bus Injection Model (BIM)
- 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

- quadratic (1 notebook)
- quadratic-cone (2 notebooks)
- quick-start (2 notebooks)
- refinery (3 notebooks)
- regression (1 notebook)
- regularization (1 notebook)
- reinforced-formulations (1 notebook)
- residential-developer (1 notebook)
- risk-management (1 notebook)
- risk-measures (1 notebook)
- sample-average-approximation (1 notebook)
- scheduling (8 notebooks)
- Containers scheduling
- Employee Scheduling Optimization
- Google Hashcode 2022
- Hydrothermal Scheduling Problem with Conic Programming
- Labs scheduling
- Oil refinery production optimization (+PowerBI)
- Optimizing the number of staff in a chain of stores

- second-order-cone (2 notebooks)
- seniority-constraints (1 notebook)
- seniority-ranking (1 notebook)
- sequences (1 notebook)
- sets (1 notebook)
- shortest-path (1 notebook)
- sigmoid (1 notebook)
- simple (1 notebook)
- softplus (1 notebook)
- solution-check (1 notebook)
- spreadsheet (2 notebooks)
- state-task-networks (1 notebook)
- stochastic (5 notebooks)
- 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*

- stochastic-optimization (1 notebook)
- stochastic-programming (1 notebook)
- strict-comparison (1 notebook)
- supply_chain (2 notebooks)
- template (1 notebook)
- trainee-scheduling (1 notebook)
- transportation (3 notebooks)
- tsp (1 notebook)
- unconstrained (1 notebook)
- unit-commitment (1 notebook)
- vector-packing (1 notebook)
- xlsx (1 notebook)