Tags

• ampl (3 notebooks)
  • AMPL - solve multiple models in parallel
  • AMPL - spreadsheet handling with amplxl
  • Solving simple stochastic optimization problems with AMPL
• ampl-book (10 notebooks)
  • Book Example: Economic equilibria
  • Book Example: Transshipment problem
  • Book Example: diet
  • Book Example: prod
  • Book Example: steel
  • Book Example: transp
  • Multicommodity transportation problem
  • Nonlinear transportation model
  • Nonlinear transportation problem example
  • Production model
• ampl-lecture (3 notebooks)
  • Diet lecture
  • Steel industry problem
  • Transportation problem
• 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)
  • Financial Portfolio Optimization with amplpy
• amplxl (1 notebook)
  • AMPL - spreadsheet handling with amplxl
• assignment (1 notebook)
  • Hospitals-Residents MIP
• bin-packing (1 notebook)
  • VPSolver: Cutting & Packing Problems
• bpp (1 notebook)
  • AMPL Bin Packing Problem with GCG
• branch-price-and-cut (2 notebooks)
  • AMPL Bin Packing Problem with GCG
  • AMPL Capacitated p-Median Problem with GCG
• callbacks (1 notebook)
  • Travelling Salesman Problem with subtour elimination
• chatgpt (1 notebook)
  • AMPL Christmas Model created by ChatGPT
• christmas (1 notebook)
  • AMPL Christmas Model created by ChatGPT
• classifier (1 notebook)
  • Logistic Regression with amplpy
• complementarity-problem (1 notebook)
  • Book Example: Economic equilibria
• complexity (1 notebook)
  • Google Hashcode 2022
• conic (3 notebooks)
  • Hydrothermal Scheduling Problem with Conic Programming
  • Logistic Regression with amplpy
  • Robust Linear Programming with Ellipsoidal Uncertainty
• constraint-programming (3 notebooks)
  • CP-style scheduling model with the numberof operator, solved by a MIP solver
  • N-Queens
  • Simple sudoku solver using logical constraints (with GUI)
• cpmp (1 notebook)
  • AMPL Capacitated p-Median Problem with GCG
• cutting-stock (1 notebook)
  • VPSolver: Cutting & Packing Problems
• dantzig-wolfe-decomposition (2 notebooks)
  • AMPL Bin Packing Problem with GCG
  • AMPL Capacitated p-Median Problem with GCG
• data-structures (1 notebook)
  • Hospitals-Residents MIP
• educational (3 notebooks)
  • Employee Scheduling Optimization
  • Largest small polygon
  • NFL Team Rating
• electric-grid (1 notebook)
  • Network design with redundancy
• energy (2 notebooks)
  • Capacity expansion of power generation
  • Unit Commitment for Electrical Power Generation
• engineering (2 notebooks)
  • Google Hashcode 2022
  • Hydrothermal Scheduling Problem with Conic Programming
• example (7 notebooks)
  • Diet model with Google Sheets
  • Jupyter Notebook Integration
  • Optimization Methods in Finance: Chapter 3
  • Pattern Enumeration
  • Pattern Generation
  • Roll Cutting - Revision 1 & 2
  • amplpy setup & Quick Start
• excel (1 notebook)
  • AMPL - spreadsheet handling with amplxl
• exponential-cone (1 notebook)
  • Logistic Regression with amplpy
• finance (4 notebooks)
  • Book Example: Economic equilibria
  • Efficient Frontier with Google Sheets
  • Financial Portfolio Optimization with amplpy
  • Optimization Methods in Finance: Chapter 3
• formulation-comparison (1 notebook)
  • Logistic Regression with amplpy
• gcg (2 notebooks)
  • AMPL Bin Packing Problem with GCG
  • AMPL Capacitated p-Median Problem with GCG
• geometry (1 notebook)
  • Largest small polygon
• geothermal-energy (1 notebook)
  • Hydrothermal Scheduling Problem with Conic Programming
• google-sheets (2 notebooks)
  • Diet model with Google Sheets
  • Efficient Frontier with Google Sheets
• graphs (1 notebook)
  • Hospitals-Residents MIP
• gui (2 notebooks)
  • Dynamic routing example
  • Simple sudoku solver using logical constraints (with GUI)
• gurobi (2 notebooks)
  • Employee Scheduling Optimization
  • NFL Team Rating
• heuristics (2 notebooks)
  • Google Hashcode 2022
  • Sudoku Generator
• 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)
  • Employee Scheduling Optimization
• hydropower (1 notebook)
  • Hydrothermal Scheduling Problem with Conic Programming
• industry (4 notebooks)
  • Pricing and target-market
  • Production model
  • Steel industry problem
  • VPSolver: Cutting & Packing Problems
• ipopt (1 notebook)
  • Largest small polygon
• lecture (1 notebook)
  • Plot feasible region
• log-sum-exp (1 notebook)
  • Logistic Regression with amplpy
• lp (1 notebook)
  • Plot feasible region
• machine-learning (1 notebook)
  • Logistic Regression with amplpy
• medicine (1 notebook)
  • Dual-Donor Organ Exchange problem
• military (1 notebook)
  • Network design with redundancy
• milp (2 notebooks)
  • Employee Scheduling Optimization
  • Pricing and target-market
• mip (6 notebooks)
  • Capacity expansion of power generation
  • Dual-Donor Organ Exchange problem
  • Hospitals-Residents MIP
  • Pricing and target-market
  • Solving a nonogram puzzle
  • Sudoku Generator
• mixed-integer-linear (1 notebook)
  • Multicommodity transportation problem
• modeling-tips (1 notebook)
  • Robust Linear Programming with Ellipsoidal Uncertainty
• mp-library (1 notebook)
  • Solution check: discontinuous objective function
• multiprocess (1 notebook)
  • AMPL - solve multiple models in parallel
• non-continuous-objective (1 notebook)
  • Solution check: discontinuous objective function
• non-linear (1 notebook)
  • Largest small polygon
• nonlinear (2 notebooks)
  • Nonlinear transportation model
  • Nonlinear transportation problem example
• nonlinear-programming (1 notebook)
  • Hydrothermal Scheduling Problem with Conic Programming
• organ-exchange (1 notebook)
  • Dual-Donor Organ Exchange problem
• pandas (1 notebook)
  • Quick Start using Pandas dataframes
• parallel-computing (1 notebook)
  • AMPL - solve multiple models in parallel
• planning (1 notebook)
  • Capacity expansion of power generation
• power-generation (3 notebooks)
  • Capacity expansion of power generation
  • Hydrothermal Scheduling Problem with Conic Programming
  • Unit Commitment for Electrical Power Generation
• pricing (1 notebook)
  • Pricing and target-market
• puzzles (1 notebook)
  • Sudoku Generator
• python (1 notebook)
  • AMPL - solve multiple models in parallel
• quadratic (1 notebook)
  • NFL Team Rating
• quadratic-cone (2 notebooks)
  • Hydrothermal Scheduling Problem with Conic Programming
  • Logistic Regression with amplpy
• quick-start (2 notebooks)
  • Quick Start using Pandas dataframes
  • Quick Start using lists and dictionaries
• regression (1 notebook)
  • Logistic Regression with amplpy
• regularization (1 notebook)
  • Logistic Regression with amplpy
• risk-measures (1 notebook)
  • Solving simple stochastic optimization problems with AMPL
• sample-average-approximation (1 notebook)
  • Solving simple stochastic optimization problems with AMPL
• scheduling (3 notebooks)
  • Employee Scheduling Optimization
  • Google Hashcode 2022
  • Hydrothermal Scheduling Problem with Conic Programming
• second-order-cone (2 notebooks)
  • Hydrothermal Scheduling Problem with Conic Programming
  • Logistic Regression with amplpy
• sigmoid (1 notebook)
  • Logistic Regression with amplpy
• simple (1 notebook)
  • Plot feasible region
• softplus (1 notebook)
  • Logistic Regression with amplpy
• solution-check (1 notebook)
  • Solution check: discontinuous objective function
• spreadsheet (1 notebook)
  • AMPL - spreadsheet handling with amplxl
• stochastic-optimization (1 notebook)
  • Solving simple stochastic optimization problems with AMPL
• stochastic-programming (1 notebook)
  • AMPL - solve multiple models in parallel
• strict-comparison (1 notebook)
  • Solution check: discontinuous objective function
• template (1 notebook)
  • AMPL Model Colaboratory Template
• tsp (1 notebook)
  • Travelling Salesman Problem with subtour elimination
• unit-commitment (1 notebook)
  • Unit Commitment for Electrical Power Generation
• vector-packing (1 notebook)
  • VPSolver: Cutting & Packing Problems
• xlsx (1 notebook)
  • AMPL - spreadsheet handling with amplxl

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