Gleb Belov (8 notebooks)#

Aircrew trainee scheduling with seniority constraints#

Notebooks > Aircrew trainee scheduling with seniority constraints
tip8_aircrew_trainees_seniority.ipynb Open In Colab Kaggle Gradient Open In SageMaker Studio Lab
Description: Aircrew trainee scheduling with simpler seniority modeling
Tags: trainee-scheduling, aircrew-scheduling, employee-scheduling, seniority-constraints, seniority-ranking, preferential-bidding-system, multiple-objectives, lexicographic-optimization, amplpy
Author: Gleb Belov (8 notebooks) <gleb@ampl.com>

CP-style scheduling model with the numberof operator, solved by a MIP solver#

Notebooks > CP-style scheduling model with the *numberof* operator, solved by a MIP solver
sched_numberof.ipynb Open In Colab Kaggle Gradient Open In SageMaker Studio Lab
Description: Scheduling model with the Constraint Programming numberof operator, solved with a MIP solver. New MIP solver drivers based on the [MP library](https://amplmp.readthedocs.io/) enable CP-style modeling.
Tags: ampl-only, constraint-programming
Author: Gleb Belov (8 notebooks) <gleb@ampl.com>

Hydrothermal Scheduling Problem with Conic Programming#

Notebooks > Hydrothermal Scheduling Problem with Conic Programming
hydrothermal.ipynb Open In Colab Kaggle Gradient Open In SageMaker Studio Lab
Description: Hydrothermal Scheduling Problem using Second-Order Cones
Tags: amplpy, conic, second-order-cone, quadratic-cone, nonlinear-programming, scheduling, engineering, power-generation, geothermal-energy, hydropower
Author: Gleb Belov (8 notebooks) <gleb@ampl.com>

Logistic Regression with amplpy#

Notebooks > Logistic Regression with amplpy
logistic_regression.ipynb Open In Colab Kaggle Gradient Open In SageMaker Studio Lab
Description: Logistic regression with amplpy using exponential cones
Tags: highlights, amplpy, regression, sigmoid, softplus, log-sum-exp, classifier, regularization, machine-learning, conic, exponential-cone, second-order-cone, quadratic-cone, formulation-comparison
Author: Gleb Belov (8 notebooks) <gleb@ampl.com>, Filipe Brandão (16 notebooks) <fdabrandao@gmail.com>

N-Queens#

Notebooks > N-Queens
nqueens.ipynb Open In Colab Kaggle Gradient Open In SageMaker Studio Lab
Description: How can N queens be placed on an NxN chessboard so that no two of them attack each other?
Tags: amplpy, constraint-programming, highlights
Author: Gleb Belov (8 notebooks) <gleb@ampl.com>

Retrieve Solution pool with AMPL and Gurobi#

Notebooks > Retrieve Solution pool with AMPL and Gurobi
solution_pool.ipynb Open In Colab Kaggle Gradient Open In SageMaker Studio Lab
Description: This notebook describes how to retrieve multiple solutions from the solver’s solution pool. Optimization problems usually have several optimal solutions, one is returned by the solver but the others are discarded. These alternative solutions can also be retrieved by AMPL.
Tags: solution-pool, gurobi, cplex, xpress, mip, mixed-integer-linear, mp
Author: Marcos Dominguez Velad (25 notebooks) <marcos@ampl.com>, Gleb Belov (8 notebooks) <gleb@ampl.com>

Robust Linear Programming with Ellipsoidal Uncertainty#

Notebooks > Robust Linear Programming with Ellipsoidal Uncertainty
tip6_robust_linear_programming.ipynb Open In Colab Kaggle Gradient Open In SageMaker Studio Lab
Description: AMPL Modeling Tips #6: Robust Linear Programming
Tags: highlights, modeling-tips, conic
Author: Gleb Belov (8 notebooks) <gleb@ampl.com>

Solution check: discontinuous objective function#

Notebooks > Solution check: discontinuous objective function
sol-check.ipynb Open In Colab Kaggle Gradient Open In SageMaker Studio Lab
Description: Pathological examples to illustrate MP solution checker and settings
Tags: mp-library, solution-check, non-continuous-objective, strict-comparison
Author: Gleb Belov (8 notebooks) <gleb@ampl.com>