Axis-Aligned Relaxations for Mixed-Integer Nonlinear Programming
Fuente:
arXiv
Saved in:
| Main Authors: | Zhu, Haisheng, He, Taotao, Tawarmalani, Mohit |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
$\texttt{skwdro}$: a library for Wasserstein distributionally robust machine learning
by: Vincent, Florian, et al.
Published: (2024)
by: Vincent, Florian, et al.
Published: (2024)
Convex Mixed-Integer Nonlinear Programs Derived from Generalized Disjunctive Programming using Cones
by: Neira, David E. Bernal, et al.
Published: (2021)
by: Neira, David E. Bernal, et al.
Published: (2021)
Multi-Objective Optimization with Desirability and Morris-Mitchell Criterion
by: Bartz-Beielstein, Thomas, et al.
Published: (2025)
by: Bartz-Beielstein, Thomas, et al.
Published: (2025)
Integrating Artificial Intelligence and Mixed Integer Linear Programming: Explainable Graph-Based Instance Space Analysis in Air Transportation
by: Rosa, Artur Guerra, et al.
Published: (2025)
by: Rosa, Artur Guerra, et al.
Published: (2025)
New finite relaxation hierarchies for concavo-convex, disjoint bilinear programs, and facial disjunctions
by: Tawarmalani, Mohit
Published: (2024)
by: Tawarmalani, Mohit
Published: (2024)
Amazon Locker Capacity Management
by: Sethuraman, Samyukta, et al.
Published: (2023)
by: Sethuraman, Samyukta, et al.
Published: (2023)
Interior-Point Vanishing Problem in Semidefinite Relaxations for Neural Network Verification
by: Ueda, Ryota, et al.
Published: (2025)
by: Ueda, Ryota, et al.
Published: (2025)
Multi-Objective Optimization and Hyperparameter Tuning With Desirability Functions
by: Bartz-Beielstein, Thomas
Published: (2025)
by: Bartz-Beielstein, Thomas
Published: (2025)
Stochastic convergence of parallel asynchronous adaptive first-order methods
by: Gratton, Serge, et al.
Published: (2026)
by: Gratton, Serge, et al.
Published: (2026)
Pseudoconvex Problems in Operational Decision Systems: Algorithms for Joint Learning and Optimization
by: Li, Zijun, et al.
Published: (2026)
by: Li, Zijun, et al.
Published: (2026)
Cost-Effective Strategies for Infectious Diseases: A Multi-Objective Framework with an Interactive Dashboard
by: Lee, Jongmin, et al.
Published: (2025)
by: Lee, Jongmin, et al.
Published: (2025)
Improving Directions in Mixed Integer Bilevel Linear Optimization
by: Battista, Federico, et al.
Published: (2025)
by: Battista, Federico, et al.
Published: (2025)
Efficient Training of Physics-enhanced Neural ODEs via Direct Collocation and Nonlinear Programming
by: Langenkamp, Linus, et al.
Published: (2025)
by: Langenkamp, Linus, et al.
Published: (2025)
A Ray Intersection Algorithm for Fast Growth Distance Computation Between Convex Sets
by: Thirugnanam, Akshay, et al.
Published: (2026)
by: Thirugnanam, Akshay, et al.
Published: (2026)
Valid Inequalities for Mixed Integer Bilevel Linear Optimization Problems
by: Tahernejad, Sahar, et al.
Published: (2025)
by: Tahernejad, Sahar, et al.
Published: (2025)
CAO: Curvature-Adaptive Optimization via Periodic Low-Rank Hessian Sketching
by: Du, Wenzhang
Published: (2025)
by: Du, Wenzhang
Published: (2025)
Refining Graphical Neural Network Predictions Using Flow Matching for Optimal Power Flow with Constraint-Satisfaction Guarantee
by: Khanal, Kshitiz
Published: (2025)
by: Khanal, Kshitiz
Published: (2025)
PyEPO: A PyTorch-based End-to-End Predict-then-Optimize Library for Linear and Integer Programming
by: Tang, Bo, et al.
Published: (2022)
by: Tang, Bo, et al.
Published: (2022)
Automating Reformulation for Parallel ADMM
by: Sun, Kaizhao, et al.
Published: (2026)
by: Sun, Kaizhao, et al.
Published: (2026)
Adaptive Conditional Forest Sampling for Spectral Risk Optimisation under Decision-Dependent Uncertainty
by: Kurbucz, Marcell T.
Published: (2026)
by: Kurbucz, Marcell T.
Published: (2026)
Enhancing Model Based Derivative Free Optimization using Direct Search
by: Li, Zijun, et al.
Published: (2026)
by: Li, Zijun, et al.
Published: (2026)
From Non-Identifiability to Goal-Integrated Decision-Making in Parametric Inverse Optimization
by: Ahmadi, Farzin, et al.
Published: (2026)
by: Ahmadi, Farzin, et al.
Published: (2026)
CBX: Python and Julia packages for consensus-based interacting particle methods
by: Bailo, Rafael, et al.
Published: (2024)
by: Bailo, Rafael, et al.
Published: (2024)
Turnpike with Uncertain Measurements: Triangle-Equality ILP with a Deterministic Recovery Guarantee
by: Elder, C. S., et al.
Published: (2026)
by: Elder, C. S., et al.
Published: (2026)
Natural Gradient VI: Guarantees for Non-Conjugate Models
by: Sun, Fangyuan, et al.
Published: (2025)
by: Sun, Fangyuan, et al.
Published: (2025)
Anisotropic Gaussian Smoothing for Gradient-based Optimization
by: Starnes, Andrew, et al.
Published: (2024)
by: Starnes, Andrew, et al.
Published: (2024)
Adaptive Methods for Multiobjective Unit Commitment
by: Tevruez, Ece, et al.
Published: (2025)
by: Tevruez, Ece, et al.
Published: (2025)
Last-iterate Convergence of ADMM on Multi-affine Quadratic Equality Constrained Problem
by: Chao, Yutong, et al.
Published: (2026)
by: Chao, Yutong, et al.
Published: (2026)
Taming Nonconvex Stochastic Mirror Descent with General Bregman Divergence
by: Fatkhullin, Ilyas, et al.
Published: (2024)
by: Fatkhullin, Ilyas, et al.
Published: (2024)
Deep Legendre Transform
by: Minabutdinov, Aleksey, et al.
Published: (2025)
by: Minabutdinov, Aleksey, et al.
Published: (2025)
Comparative Evaluation of SDP, SOCP, and QC Convex Relaxations for Large-Scale Market-Based AC Optimal Power Flow
by: Keskin, Ata
Published: (2026)
by: Keskin, Ata
Published: (2026)
CEopt: A MATLAB Package for Non-convex Optimization with the Cross-Entropy Method
by: Cunha Jr, Americo, et al.
Published: (2024)
by: Cunha Jr, Americo, et al.
Published: (2024)
A unified convergence theory for adaptive first-order methods in the nonconvex case, including AdaNorm, full and diagonal AdaGrad, Shampoo and Muo
by: Gratton, S., et al.
Published: (2026)
by: Gratton, S., et al.
Published: (2026)
Escaping Saddle Points via Curvature-Calibrated Perturbations: A Complete Analysis with Explicit Constants and Empirical Validation
by: Alpay, Faruk, et al.
Published: (2025)
by: Alpay, Faruk, et al.
Published: (2025)
OPM, a collection of Optimization Problems in Matlab
by: Gratton, Serge, et al.
Published: (2021)
by: Gratton, Serge, et al.
Published: (2021)
Black-Box Uniform Stability for Non-Euclidean Empirical Risk Minimization
by: Vary, Simon, et al.
Published: (2024)
by: Vary, Simon, et al.
Published: (2024)
Machine Learning Algorithms for Improving Black Box Optimization Solvers
by: Kimiaei, Morteza, et al.
Published: (2025)
by: Kimiaei, Morteza, et al.
Published: (2025)
Global Optimality for Constrained Exploration via Penalty Regularization
by: Wolf, Florian, et al.
Published: (2026)
by: Wolf, Florian, et al.
Published: (2026)
Optimization with Trained Machine Learning Models Embedded
by: Schweidtmann, Artur M., et al.
Published: (2022)
by: Schweidtmann, Artur M., et al.
Published: (2022)
A Multi-Reference Relaxation Enforced Neighborhood Search Heuristic in SCIP
by: Bolusani, Suresh, et al.
Published: (2024)
by: Bolusani, Suresh, et al.
Published: (2024)
Similar Items
-
$\texttt{skwdro}$: a library for Wasserstein distributionally robust machine learning
by: Vincent, Florian, et al.
Published: (2024) -
Convex Mixed-Integer Nonlinear Programs Derived from Generalized Disjunctive Programming using Cones
by: Neira, David E. Bernal, et al.
Published: (2021) -
Multi-Objective Optimization with Desirability and Morris-Mitchell Criterion
by: Bartz-Beielstein, Thomas, et al.
Published: (2025) -
Integrating Artificial Intelligence and Mixed Integer Linear Programming: Explainable Graph-Based Instance Space Analysis in Air Transportation
by: Rosa, Artur Guerra, et al.
Published: (2025) -
New finite relaxation hierarchies for concavo-convex, disjoint bilinear programs, and facial disjunctions
by: Tawarmalani, Mohit
Published: (2024)