:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	D'Onofrio, Federico, Faenza, Yuri, Palagi, Laura
Format:	Preprint
Published:	2025
Subjects:	Optimization and Control
Online Access:	https://arxiv.org/abs/2507.23711
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Feature selection in linear SVMs via a hard cardinality constraint: a scalable SDP decomposition approach
by: Bomze, Immanuel, et al.
Published: (2024)

Minimum Cut Representability of Stable Matching Problems
by: Faenza, Yuri, et al.
Published: (2025)

CMA Light: a novel Minibatch Algorithm for large-scale non convex finite sum optimization
by: Coppola, Corrado, et al.
Published: (2023)

Linear Programming Hierarchies Collapse under Symmetry
by: Faenza, Yuri, et al.
Published: (2025)

Benders decomposition for congested partial set covering location with uncertain demand
by: Calamita, Alice, et al.
Published: (2024)

Unboxing Tree Ensembles for interpretability: a hierarchical visualization tool and a multivariate optimal re-built tree
by: Di Teodoro, Giulia, et al.
Published: (2023)

Computational issues in Optimization for Deep networks
by: Coppola, Corrado, et al.
Published: (2024)

Beyond adaptive gradient: Fast-Controlled Minibatch Algorithm for large-scale optimization
by: Coppola, Corrado, et al.
Published: (2024)

Convergence of ease-controlled Random Reshuffling gradient Algorithms under Lipschitz smoothness
by: Seccia, Ruggiero, et al.
Published: (2022)

On the Existence of Koopman Linear Embeddings for Controlled Nonlinear Systems
by: Shang, Xu, et al.
Published: (2026)

Willems' Fundamental Lemma for Nonlinear Systems with Koopman Linear Embedding
by: Shang, Xu, et al.
Published: (2024)

Online Tracking with Predictions for Nonlinear Systems with Koopman Linear Embedding
by: Pai, Chih-Fan, et al.
Published: (2026)

Enhancing GNNs Performance on Combinatorial Optimization by Recurrent Feature Update
by: Pugacheva, Daria, et al.
Published: (2024)

Neural Solver Selection for Combinatorial Optimization
by: Gao, Chengrui, et al.
Published: (2024)

Efficient Nonlinear MPC by Leveraging LPV Embedding and Sequential Quadratic Programming
by: Karachalios, Dimitrios S., et al.
Published: (2024)

Best Subset Selection: Optimal Pursuit for Feature Selection and Elimination
by: Zhu, Zhihan, et al.
Published: (2025)

Feature Selection for Data-driven Explainable Optimization
by: Aigner, Kevin-Martin, et al.
Published: (2025)

A Geometric Approach to Feedback Stabilization of Nonlinear Systems with Drift
by: Michalska, Hannah, et al.
Published: (2026)

A Cardinality-Constrained Approach to Combinatorial Bilevel Congestion Pricing
by: Guo, Lei, et al.
Published: (2024)

Combinatorial Admissibility in Control-Affine Networks
by: Zelazo, Daniel, et al.
Published: (2026)

Ensemble Kalman Inversion for Constrained Nonlinear MPC: An ADMM-Splitting Approach
by: Khalil, Ahmed, et al.
Published: (2025)

An ANN-Enhanced Approach for Flatness-Based Constrained Control of Nonlinear Systems
by: Do, Huu-Thinh, et al.
Published: (2025)

Combinatorial Control Barrier Functions: Nested Boolean and p-choose-r Compositions of Safety Constraints
by: Ong, Pio, et al.
Published: (2025)

Iterative Belief Propagation for Sparse Combinatorial Optimization
by: Reifenstein, Sam, et al.
Published: (2024)

Stochastic Error Bounds in Nonlinear Model Predictive Control with Gaussian Processes via Parameter-Varying Embeddings
by: Karachalios, Dimitrios S., et al.
Published: (2024)

A Dual Koopman Approach to Observer Design for Nonlinear Systems
by: Mohet, Judicaël, et al.
Published: (2025)

Virtual Contraction Approach to Decentralized Adaptive Stabilization of Nonlinear Time-Delayed Networks
by: Kawano, Yu, et al.
Published: (2025)

Coherency Analysis in Nonlinear Heterogeneous Power Networks: A Blended Dynamics Approach
by: Liu, Yixuan, et al.
Published: (2025)

A Combinatorial Optimisation Approach to Multi-factorial Gap-filling in Genome-scale Metabolic Models (GEMs)
by: Kilby, Philip, et al.
Published: (2026)

Combinatorial Optimization and Machine Learning for Dynamic Inventory Routing
by: Greif, Toni, et al.
Published: (2024)

Combinatorial Disjunctive Constraints for Obstacle Avoidance in Path Planning
by: Garcia, Raul, et al.
Published: (2023)

Stabilizing Optimal Control for Nonlinear Stochastic Systems: A Parametric Gradient-Based Approach
by: Ito, Yuji, et al.
Published: (2025)

Nonlinear MPC for Feedback-Interconnected Systems: a Suboptimal and Reduced-Order Model Approach
by: Di Gregorio, Stefano, et al.
Published: (2025)

A Kernelized Operator Approach to Nonlinear Data-Enabled Predictive Control
by: de Jong, Thomas, et al.
Published: (2025)

An Empirical Quantile Estimation Approach to Nonlinear Optimization Problems with Chance Constraints
by: Luo, Fengqiao, et al.
Published: (2022)

A Comparison of Strategies to Embed Physics-Informed Neural Networks in Nonlinear Model Predictive Control Formulations Solved via Direct Transcription
by: Casas, Carlos Andrés Elorza, et al.
Published: (2025)

Unsupervised Feature Selection via Nonnegative Orthogonal Constrained Regularized Minimization
by: Li, Yan, et al.
Published: (2024)

Nonlinear Control Allocation: A Learning Based Approach
by: Khan, Hafiz Zeeshan Iqbal, et al.
Published: (2022)

Stochastic Nonlinear Control via Finite-dimensional Spectral Dynamic Embedding
by: Ren, Zhaolin, et al.
Published: (2023)

Sequential Operation of Residential Energy Hubs using Physics-Based Economic Nonlinear MPC
by: Slaifstein, Darío, et al.
Published: (2025)