Learning for Constrained Optimization: Identifying Optimal Active Constraint Sets
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Publication:5084662
DOI10.1287/ijoc.2020.1037OpenAlexW3198890660MaRDI QIDQ5084662
Line A. Roald, Sidhant Misra, Yeesian Ng
Publication date: 28 June 2022
Published in: INFORMS Journal on Computing (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1802.09639
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- Using hash tables to manage the time-storage complexity in a point location problem: application to explicit model predictive control
- Optimal complexity reduction of polyhedral piecewise affine systems
- Evaluation of piecewise affine control via binary search tree
- Learning a classification of mixed-integer quadratic programming problems
- K-d tree based approach for point location problem in explicit model predictive control
- LP formulations of the shortest path tree problem
- Learning when to use a decomposition
- Safety verification of deep neural networks
- Using a Two-Level Structure to Manage the Point Location Problem in Explicit Model Predictive Control
- Julia: A Fresh Approach to Numerical Computing
- A General Safety Framework for Learning-Based Control in Uncertain Robotic Systems
- Approximate explicit constrained linear model predictive control via orthogonal search tree
- Model predictive control based on linear programming - the explicit solution
- JuMP: A Modeling Language for Mathematical Optimization
- A Machine Learning-Based Approximation of Strong Branching
- THE POPULATION FREQUENCIES OF SPECIES AND THE ESTIMATION OF POPULATION PARAMETERS
- The explicit linear quadratic regulator for constrained systems
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