:: Library Catalog

Image de couverture de livre

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Gupta, Shuvomoy Das, Van Parys, Bart P. G., Tobin, J. Kevin
Format:	Preprint
Publié:	2023
Sujets:	Optimization and Control
Accès en ligne:	https://arxiv.org/abs/2309.05489
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Exterior-point Optimization for Sparse and Low-rank Optimization
par: Gupta, Shuvomoy Das, et autres
Publié: (2020)

Sparse Classification: a scalable discrete optimization perspective
par: Bertsimas, Dimitris, et autres
Publié: (2017)

Subgradient Methods for Nonsmooth Convex Functions with Adversarial Errors
par: Gösgens, Martijn, et autres
Publié: (2025)

Computer-Assisted Design of Accelerated Composite Optimization Methods: OptISTA
par: Jang, Uijeong, et autres
Publié: (2023)

Learning and Decision-Making with Data: Optimal Formulations and Phase Transitions
par: Bennouna, Amine, et autres
Publié: (2021)

Learning Decision-Focused Uncertainty Sets in Robust Optimization
par: Wang, Irina, et autres
Publié: (2023)

Efficient Data-Driven Optimization with Noisy Data
par: Van Parys, Bart P. G.
Publié: (2021)

From Distributional Robustness to Robust Statistics: A Confidence Sets Perspective
par: Chan, Gabriel, et autres
Publié: (2024)

Mean Robust Optimization
par: Wang, Irina, et autres
Publié: (2022)

Nonlinear conjugate gradient methods: worst-case convergence rates via computer-assisted analyses
par: Gupta, Shuvomoy Das, et autres
Publié: (2023)

Quadratic versus Polynomial Unconstrained Binary Models for Quantum Optimization illustrated on Railway Timetabling
par: Grange, Camille, et autres
Publié: (2024)

The AutoLyap software suite for computer-assisted Lyapunov analyses of first-order methods
par: Upadhyaya, Manu, et autres
Publié: (2025)

Solving Integrated Periodic Railway Timetabling with Satisfiability Modulo Theories: A Scalable Approach to Routing and Vehicle Circulation
par: Fuchs, Florian, et autres
Publié: (2025)

Stochastic Optimization with Optimal Importance Sampling
par: Aolaritei, Liviu, et autres
Publié: (2025)

Globalized Adversarial Regret Optimization: Robust Decisions with Uncalibrated Predictions
par: Kurtz, Jannis, et autres
Publié: (2026)

Column Generation for Periodic Timetabling
par: Riedmüller, Stephanie, et autres
Publié: (2025)

Robust Mean Estimation for Optimization: The Impact of Heavy Tails
par: van Parys, Bart P. G., et autres
Publié: (2025)

Benders Decomposition for Passenger-Oriented Train Timetabling with Hybrid Periodicity
par: Yao, Zhiyuan, et autres
Publié: (2025)

Designing a Robust and Cost-Efficient Electrified Bus Network with Sparse Energy Consumption Data
par: Momen, Sara, et autres
Publié: (2025)

On a probabilistic global optimizer derived from the Walker slice sampling
par: Gupta, Aditya, et autres
Publié: (2024)

Digitalizing Railway Operations: An Optimization-Based Train Rescheduling Model for Urban and Interurban Disrupted Networks
par: Bafandkar, Shayan, et autres
Publié: (2024)

Benders Decomposition for Robust Tactical Railway Crew Scheduling
par: van Rossum, B. T. C., et autres
Publié: (2024)

Reset Controller Analysis and Design for Unstable Linear Plants using Scaled Relative Graphs
par: Krebbekx, Julius P. J., et autres
Publié: (2025)

Optimal Contract Design for Incentive-Based Demand Response
par: Dobakhshari, Donya G., et autres
Publié: (2019)

On Convergence Analysis of Network-GIANT: An approximate Hessian-based fully distributed optimization algorithm
par: Das, Souvik, et autres
Publié: (2026)

Three Network Design Problems for Community Energy Storage
par: Ghaddar, Bissan, et autres
Publié: (2024)

Gauss-Southwell type descent methods for low-rank matrix optimization
par: Olikier, Guillaume, et autres
Publié: (2023)

Toward real-time optimization through model reduction and model discrepancy sensitivities
par: Hart, Joseph, et autres
Publié: (2025)

MTRBO: Multiple trust-region based Bayesian optimization
par: Das, Sourav, et autres
Publié: (2026)

A hybrid solution approach for the Integrated Healthcare Timetabling Competition 2024
par: Guericke, Daniela, et autres
Publié: (2025)

Optimizing Autonomous Transfer Hub Networks: Quantifying the Potential Impact of Self-Driving Trucks
par: Lee, Chungjae, et autres
Publié: (2023)

CoNeT-GIANT: A compressed Newton-type fully distributed optimization algorithm
par: Das, Souvik, et autres
Publié: (2025)

A proximal subgradient algorithm for constrained multiobjective DC-type optimization
par: Van Tuyen, Nguyen, et autres
Publié: (2025)

A tutorial on kriging-based stochastic simulation optimization
par: Amini, Sasan, et autres
Publié: (2025)

A novel trajectory optimization algorithm for continuous-time model predictive control
par: Das, Souvik, et autres
Publié: (2023)

Energy-optimal control of discrete-time port-Hamiltonian systems
par: Sarkar, Arijit, et autres
Publié: (2025)

Nonconvex optimization and convergence of stochastic gradient descent, and solution of asynchronous game
par: Buck, Kevin, et autres
Publié: (2025)

Neural Network Approaches for Parameterized Optimal Control
par: Verma, Deepanshu, et autres
Publié: (2024)

Residual-based attack detection in cyber-physical systems: an optimal transport viewpoint
par: Das, Souvik, et autres
Publié: (2026)

Opportunities for Hybrid Modeling Approaches in Energy Systems optimization
par: Mabrouk, Mohamed Tahar, et autres
Publié: (2025)