Gleb Belov (12 notebooks)#

A Party Scheduling Problem with FICO Xpress#

Notebooks > A Party Scheduling Problem with FICO Xpress
party1.ipynb Open In Colab Open In Deepnote Open In Kaggle Open In Gradient Open In SageMaker Studio Lab
Description: A scheduling problem for visitor-host assignments. Feasibility version (no objective function). Demonstrates high-level modeling in AMPL MP, AMPL Python API, and tuning in FICO Xpress
Tags: amplpy, mp, highlights, scheduling, assignment, feasibility-problem, tuning, xpress
Author: Gleb Belov (12 notebooks) <gleb@ampl.com>

Aircrew trainee scheduling with seniority constraints#

Notebooks > Aircrew trainee scheduling with seniority constraints
tip8_aircrew_trainees_seniority.ipynb Open In Colab Open In Deepnote Open In Kaggle Open In 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, multi-objective, lexicographic-objectives, amplpy
Author: Gleb Belov (12 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 Open In Deepnote Open In Kaggle Open In 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, mp, constraint-programming
Author: Gleb Belov (12 notebooks) <gleb@ampl.com>

Hydrothermal Scheduling Problem with Conic Programming#

Notebooks > Hydrothermal Scheduling Problem with Conic Programming
hydrothermal.ipynb Open In Colab Open In Deepnote Open In Kaggle Open In 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, electric-power-industry
Author: Gleb Belov (12 notebooks) <gleb@ampl.com>

Logistic Regression with amplpy#

Notebooks > Logistic Regression with amplpy
logistic_regression.ipynb Open In Colab Open In Deepnote Open In Kaggle Open In Gradient Open In SageMaker Studio Lab
Description: Logistic regression with amplpy using exponential cones
Tags: highlights, amplpy, logistic-regression, regression, sigmoid, softplus, log-sum-exp, classifier, regularization, machine-learning, conic, exponential-cone, second-order-cone, quadratic-cone, formulation-comparison
Author: Gleb Belov (12 notebooks) <gleb@ampl.com>, Filipe Brandão (16 notebooks) <fdabrandao@gmail.com>

Minimize the Pairwise Distance Ratio for N Points#

Notebooks > Minimize the Pairwise Distance Ratio for N Points
min_pairw_dist_ratio.ipynb Open In Colab Open In Deepnote Open In Kaggle Open In Gradient Open In SageMaker Studio Lab
Description: Minimize the pairwise distance ratio of N points with FICO Xpress
Tags: amplpy, highlights, nonlinear, quadratic, global-optimization, local-optimization, trigonometric, xpress
Author: Gleb Belov (12 notebooks) <gleb@ampl.com>

N-Queens#

Notebooks > N-Queens
nqueens.ipynb Open In Colab Open In Deepnote Open In Kaggle Open In 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, mp, constraint-programming, highlights
Author: Gleb Belov (12 notebooks) <gleb@ampl.com>

Paintshop Color Change Scheduling with FICO Xpress#

Notebooks > Paintshop Color Change Scheduling with FICO Xpress
color_change_scheduling.ipynb Open In Colab Open In Deepnote Open In Kaggle Open In Gradient Open In SageMaker Studio Lab
Description: A scheduling problem demonstrating high-level modeling and manual solver tuning in FICO Xpress
Tags: amplpy, mp, scheduling, color-change-scheduling, tuning, xpress
Author: Gleb Belov (12 notebooks) <gleb@ampl.com>

Portfolio Optimization: Factor Model#

Notebooks > Portfolio Optimization: Factor Model
portfolio_factor_model.ipynb Open In Colab Open In Deepnote Open In Kaggle Open In Gradient Open In SageMaker Studio Lab
Description: Mean-Variance Portfolio Optimization model where the risk estimator is not given explicitly but is instead represented by a factor model, as is common in US equity models [1]. The original notebook is [3].
Tags: finance, portfolio-optimization, mean-variance, factor-model, ampl-conditonal-instantiation, mp, cardinality-constraint
Author: Gleb Belov (12 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 Open In Deepnote Open In Kaggle Open In 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, tutorials
Author: Marcos Dominguez Velad (35 notebooks) <marcos@ampl.com>, Gleb Belov (12 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 Open In Deepnote Open In Kaggle Open In Gradient Open In SageMaker Studio Lab
Description: AMPL Modeling Tips #6: Robust Linear Programming
Tags: highlights, modeling-tips, conic
Author: Gleb Belov (12 notebooks) <gleb@ampl.com>

Solution check: discontinuous objective function#

Notebooks > Solution check: discontinuous objective function
sol-check.ipynb Open In Colab Open In Deepnote Open In Kaggle Open In Gradient Open In SageMaker Studio Lab
Description: Pathological examples to illustrate MP solution checker and settings
Tags: mp, solution-check, non-continuous-objective, strict-comparison
Author: Gleb Belov (12 notebooks) <gleb@ampl.com>