What is the Best Way to Do Something? A Discreet Tour of Discrete Optimization
Fuente:
arXiv
Enregistré dans:
| Auteur principal: | Serra, Thiago |
|---|---|
| Format: | Preprint |
| Publié: |
2025
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
Optimization over Trained Neural Networks: Going Large with Gradient-Based Algorithms
par: Tong, Jiatai, et autres
Publié: (2025)
par: Tong, Jiatai, et autres
Publié: (2025)
Optimization Over Trained Neural Networks: Taking a Relaxing Walk
par: Tong, Jiatai, et autres
Publié: (2024)
par: Tong, Jiatai, et autres
Publié: (2024)
Automated Tour Design in the Saturnian System
par: Takubo, Yuji, et autres
Publié: (2022)
par: Takubo, Yuji, et autres
Publié: (2022)
Computational Tradeoffs of Optimization-Based Bound Tightening in ReLU Networks
par: Badilla, Fabian, et autres
Publié: (2023)
par: Badilla, Fabian, et autres
Publié: (2023)
Optimization over Trained (and Sparse) Neural Networks: A Surrogate within a Surrogate
par: Pham, Hung, et autres
Publié: (2025)
par: Pham, Hung, et autres
Publié: (2025)
Fixed-Time and Arbitrarily Fast Exponential Stabilization of Discrete-Time Switched Linear Systems
par: Flavio, Picchiotti, et autres
Publié: (2026)
par: Flavio, Picchiotti, et autres
Publié: (2026)
Deterministic Structure of Vertical Configurations in Minimal Picker Tours for Rectangular Warehouses
par: Dunn, George, et autres
Publié: (2025)
par: Dunn, George, et autres
Publié: (2025)
Explicit Reformulation of Discrete Distributionally Robust Optimization Problems
par: Shida, Yuma, et autres
Publié: (2025)
par: Shida, Yuma, et autres
Publié: (2025)
Addressing Discrete Dynamic Optimization via a Logic-Based Discrete-Steepest Descent Algorithm
par: Peng, Zedong, et autres
Publié: (2024)
par: Peng, Zedong, et autres
Publié: (2024)
When Deep Learning Meets Polyhedral Theory: A Survey
par: Huchette, Joey, et autres
Publié: (2023)
par: Huchette, Joey, et autres
Publié: (2023)
Volt/VAR Optimization in Transmission Networks with Discrete-Control Devices
par: Tong, Shuaicheng, et autres
Publié: (2026)
par: Tong, Shuaicheng, et autres
Publié: (2026)
Discrete Distributionally Robust Optimal Control with Explicitly Constrained Optimization
par: Shida, Yuma, et autres
Publié: (2024)
par: Shida, Yuma, et autres
Publié: (2024)
Fixed Confidence and Fixed Tolerance Bi-level Optimization for Selecting the Best Optimized System
par: Wang, Yuhao, et autres
Publié: (2025)
par: Wang, Yuhao, et autres
Publié: (2025)
Network Relaxations for Discrete Bilevel Optimization under Linear Interactions
par: Lozano, Leonardo, et autres
Publié: (2024)
par: Lozano, Leonardo, et autres
Publié: (2024)
Storage Participation in Electricity Markets: Time Discretization through Robust Optimization
par: Lauinger, Dirk, et autres
Publié: (2025)
par: Lauinger, Dirk, et autres
Publié: (2025)
A Discretization Approach for Bilevel Optimization with Low-Dimensional and Non-Convex Lower-Level
par: Jiang, Xiaotian, et autres
Publié: (2025)
par: Jiang, Xiaotian, et autres
Publié: (2025)
Optimization-based Verification of Discrete-time Control Barrier Functions: A Branch-and-Bound Approach
par: Shakhesi, Erfan, et autres
Publié: (2024)
par: Shakhesi, Erfan, et autres
Publié: (2024)
Online Mixed Discrete and Continuous Optimization: Algorithms, Regret Analysis and Applications
par: Ye, Lintao, et autres
Publié: (2023)
par: Ye, Lintao, et autres
Publié: (2023)
Robust Discrete Pricing Optimization via Multiple-Choice Knapsack Reductions
par: Shao, Zi Yuan Eric
Publié: (2026)
par: Shao, Zi Yuan Eric
Publié: (2026)
A Proximal Gradient Method with an Explicit Line search for Multiobjective Optimization
par: Bello-Cruz, Yunier, et autres
Publié: (2024)
par: Bello-Cruz, Yunier, et autres
Publié: (2024)
Point Convergence Analysis of the Accelerated Gradient Method for Multiobjective Optimization: Continuous and Discrete
par: Yin, Yingdong
Publié: (2025)
par: Yin, Yingdong
Publié: (2025)
Deterministic Global Optimization of the Acquisition Function in Bayesian Optimization: To Do or Not To Do?
par: Georgiou, Anastasia, et autres
Publié: (2025)
par: Georgiou, Anastasia, et autres
Publié: (2025)
Final Exam Scheduling at Bucknell University: A Case Study and Open-Source Tool
par: Chaplin, Clara, et autres
Publié: (2025)
par: Chaplin, Clara, et autres
Publié: (2025)
A Generalized Analytical Framework for the Nonlinear Best-Worst Method
par: Ratandhara, Harshit M., et autres
Publié: (2025)
par: Ratandhara, Harshit M., et autres
Publié: (2025)
Simulation-Based Optimization over Discrete Spaces using Projection to Continuous Latent Spaces
par: Hernández-Morales, Gabriel, et autres
Publié: (2025)
par: Hernández-Morales, Gabriel, et autres
Publié: (2025)
Optimization via First-Order Switching Methods: Skew-Symmetric Dynamics and Optimistic Discretization
par: Upadhyay, Antesh, et autres
Publié: (2025)
par: Upadhyay, Antesh, et autres
Publié: (2025)
An Abstract Stochastic Haugazeau Method for Best Approximation
par: Madariaga, Javier I.
Publié: (2026)
par: Madariaga, Javier I.
Publié: (2026)
Solving the Probabilistic Profitable Tour Problem on a Tree
par: Angelelli, Enrico, et autres
Publié: (2022)
par: Angelelli, Enrico, et autres
Publié: (2022)
Solving Monotone Variational Inequalities with Best Response Dynamics
par: Chen, Yu-Wen, et autres
Publié: (2024)
par: Chen, Yu-Wen, et autres
Publié: (2024)
Arbitrarily Small Execution-Time Certificate: What was Missed in Analog Optimization
par: Wu, Liang, et autres
Publié: (2025)
par: Wu, Liang, et autres
Publié: (2025)
A Convex Optimization Approach to the Discrete Hanging Chain Problem
par: Gabrys, Russell, et autres
Publié: (2025)
par: Gabrys, Russell, et autres
Publié: (2025)
Best-Worst Disaggregation: An approach to the preference disaggregation problem
par: Brunelli, Matteo, et autres
Publié: (2024)
par: Brunelli, Matteo, et autres
Publié: (2024)
Sarah Frank-Wolfe: Methods for Constrained Optimization with Best Rates and Practical Features
par: Beznosikov, Aleksandr, et autres
Publié: (2023)
par: Beznosikov, Aleksandr, et autres
Publié: (2023)
Selecting the Best Optimizing System
par: Si, Nian, et autres
Publié: (2022)
par: Si, Nian, et autres
Publié: (2022)
Integrating Random Regret Minimization-Based Discrete Choice Models with Mixed Integer Linear Programming for Revenue Optimization
par: Talebi, Amirreza, et autres
Publié: (2024)
par: Talebi, Amirreza, et autres
Publié: (2024)
Best Subset Selection: Optimal Pursuit for Feature Selection and Elimination
par: Zhu, Zhihan, et autres
Publié: (2025)
par: Zhu, Zhihan, et autres
Publié: (2025)
Best Response Strategies for Asymmetric Sensing in Linear-Quadratic Differential Games
par: Aggarwal, Shubham, et autres
Publié: (2024)
par: Aggarwal, Shubham, et autres
Publié: (2024)
Reheated Gradient-based Discrete Sampling for Combinatorial Optimization
par: Li, Muheng, et autres
Publié: (2025)
par: Li, Muheng, et autres
Publié: (2025)
BIG Hype: Best Intervention in Games via Distributed Hypergradient Descent
par: Grontas, Panagiotis D., et autres
Publié: (2023)
par: Grontas, Panagiotis D., et autres
Publié: (2023)
Discretized Distributed Optimization over Dynamic Digraphs
par: Doostmohammadian, Mohammadreza, et autres
Publié: (2023)
par: Doostmohammadian, Mohammadreza, et autres
Publié: (2023)
Documents similaires
-
Optimization over Trained Neural Networks: Going Large with Gradient-Based Algorithms
par: Tong, Jiatai, et autres
Publié: (2025) -
Optimization Over Trained Neural Networks: Taking a Relaxing Walk
par: Tong, Jiatai, et autres
Publié: (2024) -
Automated Tour Design in the Saturnian System
par: Takubo, Yuji, et autres
Publié: (2022) -
Computational Tradeoffs of Optimization-Based Bound Tightening in ReLU Networks
par: Badilla, Fabian, et autres
Publié: (2023) -
Optimization over Trained (and Sparse) Neural Networks: A Surrogate within a Surrogate
par: Pham, Hung, et autres
Publié: (2025)