Optimization and Control

Papers filed under math.OC on arXiv, each one already summarized by Paperlayer. Open any of them to read the summary beside the original PDF, with every point linked to the line, figure, or table it came from.

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1 to 60 of 2,304

Modeling and Analysis of Energy Harvesting and Smart Grid-Powered Wireless Communication Networks: A Contemporary Survey
Shuyan Hu, Xiaojing Chen, Wei Ni +2
eess.SYcs.SYmath.OCarXiv:1912.13203v12019
A Novel Consensus-based Distributed Algorithm for Economic Dispatch Based on Local Estimation of Power Mismatch
Hajir Pourbabak, Jingwei Luo, Tao Chen +1
math.OCarXiv:1708.06803v22017
Exact Solution Techniques for Two-dimensional Cutting and Packing
Manuel Iori, Vinícius L. de Lima, Silvano Martello +2
math.OCmath.COarXiv:2004.12619v12020
Riemannian Hessian analysis of Sobolev gradient flows for the Gross--Pitaevskii ground state problem
Shixin Zheng, Xiangxiong Zhang
math.NAmath.OCphysics.comp-pharXiv:2610.12833v12026
Lower Bounds for Randomized Linear-Oracle Optimization over Strongly Convex Sets
Sebastian Pokutta
math.OCcs.LGarXiv:2610.13590v12026
Private and Distributionally Robust Federated Multiclass Classification
Andrea P. Hernandez, Michael Ibrahim, Nagi Gebraeel
cs.LGmath.OCarXiv:2610.13631v12026
An inverse spectral problem for the wave equation with a varying Robin parameter at the boundary
Antti Hannukainen, Petr Kulikov, Matti Lassas +1
math.APmath.NAmath.OCarXiv:2610.13629v12026
Dynamic Matching with Abandonment: Optimal Guarantees via Static Priority Policies
Nick Arnosti, Rad Niazadeh, Pranav Nuti +1
cs.DScs.CCcs.GTarXiv:2610.12991v12026
When Solvers Get Moody: Quantifying and Predicting Performance Variability in Mixed Integer Programming
Mourchid Adegbindin, Brenda Dietrich, Jamol Pender +1
math.OCcs.LGarXiv:2610.12876v12026
Compressing Large Language Models using Low Rank and Low Precision Decomposition
Rajarshi Saha, Naomi Sagan, Varun Srivastava +2
cs.LGcs.AImath.OCarXiv:2405.18886v22024
Generalization Guarantees for Neural Networks via Harnessing the Low-rank Structure of the Jacobian
Samet Oymak, Zalan Fabian, Mingchen Li +1
cs.LGmath.OCstat.MLarXiv:1906.05392v22019
On the Certainty-Equivalence Approach to Direct Data-Driven LQR Design
Florian Dörfler, Pietro Tesi, Claudio De Persis
math.OCarXiv:2109.06643v12021
Active Learning for Nonlinear System Identification with Guarantees
Horia Mania, Michael I. Jordan, Benjamin Recht
stat.MLcs.LGmath.OCarXiv:2006.10277v12020
Structure-Aware Online Optimization of the Age of Information with Unknown System Statistics
Yoshiaki Inoue, Michel Mandjes, Liron Ravner
cs.ITmath.OCarXiv:2610.13142v12026
Quality-Diversity Optimization: a novel branch of stochastic optimization
Konstantinos Chatzilygeroudis, Antoine Cully, Vassilis Vassiliades +1
cs.NEcs.LGmath.OCarXiv:2012.04322v22020
Infinite-Horizon Sparse Optimal Control: Solution through a Finite-Horizon Subproblem and Its Receding-Horizon Implementation
Yasuaki Oishi, Takumi Iwata, Masaaki Nagahara
eess.SYcs.SYmath.OCarXiv:2608.17464v12026
Centralized and distributed online learning for sparse time-varying optimization
Sophie M. Fosson
math.OCcs.LGarXiv:2001.11939v12020
Strongly uncontrollable network topologies
Cesar O. Aguilar
math.OCarXiv:1911.06398v12019
Actuator Scheduling for Linear Systems: A Convex Relaxation Approach
Junjie Jiao, Dipankar Maity, John S. Baras +1
math.OCcs.SYeess.SYarXiv:2203.02321v22022
Pointwise-Sparse Actuator Scheduling for Linear Systems with Controllability Guarantee
Luca Ballotta, Geethu Joseph, Irawati Rahul Thete
math.OCcs.SYeess.SYarXiv:2407.12125v32024
A Unifying Framework for Strong Structural Controllability
Jiajia Jia, Henk J. van Waarde, Harry L. Trentelman +1
math.OCarXiv:1903.03353v12019
Asymmetric Weighted Earliness-Tardiness: Scheduling with a Nonrestrictive Common Due Date
Nicholas G. Hall, Hans Kellerer, Miao Song
math.OCcs.CCcs.DMarXiv:2609.16046v12026
Nonsmooth Optimization via Orthogonalized Momentum
Lexiao Lai, Tianyi Lin, Jiayu Zhang
math.OCcs.LGarXiv:2609.13677v12026
On the Equivalence of Stochastic Control and Path Space Formulations for Schr\"odinger Bridges over Compact Connected Lie Groups
Hamza Mahmood, Georgiy A. Bondar, Abhishek Halder +1
math.OCcs.AIcs.SYarXiv:2609.13758v12026
Infinite-Horizon Differentiable Model Predictive Control
Sebastian East, Marco Gallieri, Jonathan Masci +2
math.OCcs.LGcs.SYarXiv:2001.02244v12020
Identifiability of a dissipative knowledge-dynamics model: exact recovery under designed excitation, degeneration on observational data
Arman Kostanian, Armen Beklaryan
cs.LGmath.OCstat.MLarXiv:2610.09889v12026
Wasserstein Distributionally Robust Optimization and Variation Regularization
Rui Gao, Xi Chen, Anton J. Kleywegt
cs.LGmath.OCstat.MLarXiv:1712.06050v32017
Control for Networked Control Systems with Remote and Local Controllers over Unreliable Communication Channel
Xiao Liang, Juanjuan Xu
math.OCarXiv:1803.01336v12018
Comparison of neural and spline representations for physics-informed learning
R{é}gis Duvigneau
math.APcs.NAmath.NAarXiv:2610.06294v12026
A scalable computational framework for establishing long-term behavior of stochastic reaction networks
Ankit Gupta, Corentin Briat, Mustafa Khammash
q-bio.MNcs.SYeess.SYarXiv:1304.5404v32013
Phase Retrieval Meets Statistical Learning Theory: A Flexible Convex Relaxation
Sohail Bahmani, Justin Romberg
cs.ITcs.LGmath.FAarXiv:1610.04210v22016
When is a Convolutional Filter Easy To Learn?
Simon S. Du, Jason D. Lee, Yuandong Tian
cs.LGcs.AIcs.CVarXiv:1709.06129v22017
Taylor Representations for Model-Free RL in Networked MDPs
Salah Chikhi, Abdelhaq Chaoui, Asuman Ozdaglar +1
stat.MLcs.LGmath.OCarXiv:2610.05456v12026
Last-Iterate Convergence Rate of Normalized Gradient Descent under H\"older Smoothness
Yuki Takezawa, Eduard Gorbunov
math.OCcs.LGarXiv:2610.06070v12026
Large Stepsizes Federated Learning on Logistic Regression with Linearly Separable Data: The Case of Heterogeneous Devices
Hok Fong Wong, Hoi-To Wai, Chung-Yiu Yau
cs.LGmath.OCarXiv:2610.05915v12026
Energy-aware frugal Bayesian optimization
Gaston Plat, Paul Saves, Nathalie Bartoli +2
cs.LGcs.AImath.OCarXiv:2609.31638v12026
Trust-Region Optimization for Smooth Potential-Interaction Energies in Wasserstein Space
You Wan, Ting Gao, Jinqiao Duan
stat.MLcs.LGmath.OCarXiv:2610.08883v12026
Convexity in semi-algebraic geometry and polynomial optimization
Jean B. Lasserre
math.OCmath.AGarXiv:0806.3784v32008
Curating Always-Loaded Context for LLM Agents: A Capacitated Assortment Model with Censored Feedback
Zexuan Liu, Yuning Yang, Tiancheng Zhao
cs.AIcs.LGmath.OCarXiv:2610.11007v12026
Low-rank tensor completion: a Riemannian manifold preconditioning approach
Hiroyuki Kasai, Bamdev Mishra
cs.LGcs.NAmath.NAarXiv:1605.08257v12016
Sharper Convergence Guarantees for Asynchronous SGD for Distributed and Federated Learning
Anastasia Koloskova, Sebastian U. Stich, Martin Jaggi
cs.LGcs.DCmath.OCarXiv:2206.08307v12022
Infinite Horizon Mean-Field Terminal Value Problem
Uğur Aydın, Tamer Başar, Naci Saldi
math.OCcs.SYeess.SYarXiv:2609.12768v12026
An Adaptive Multi-Parameter ADMM Algorithm for Embedded MPC
Alberto Zaupa, Mikael Johansson
eess.SYcs.SYmath.OCarXiv:2609.12992v12026
LASER: Latent Space Adjoint Matching for Support-Constrained Entropy-Regularized Offline RL
Songyuan Zhang, Oswin So, Eric Yang Yu +3
cs.LGcs.AIcs.ROarXiv:2610.08989v12026
Controlling the energy jump of multistable structures using shape optimization
Arselane Hadj Slimane, Patrick E. Farrell, Alberto Paganini +1
math.OCcs.NAmath.NAarXiv:2609.12816v12026
Mean field games with nonlinear mobilities in pedestrian dynamics
Martin Burger, Marco Di Francesco, Peter Markowich +1
math.APmath.OCnlin.AOarXiv:1304.5201v12013
Early stopping of stochastic variance reduced gradient for linear inverse problems by the discrepancy principle
Bangti Jin, Zehui Zhou
math.NAcs.NAmath.OCarXiv:2609.12396v12026
Large player classes and approximately weighted voting
Ezra Einy, Ori Haimanko
econ.THcs.GTmath.OCarXiv:2610.08968v12026
The Geometry of Anisotropic Dilation for Optimal Regularization
Carson Newman, Oscar Leong
math.OCmath.MGmath.STarXiv:2610.09310v12026
Learning Warm-Start Points for AC Optimal Power Flow
Kyri Baker
math.OCeess.SParXiv:1905.08860v12019
Robustness of Nonlinear Predictor Feedback Laws to Time- and State-Dependent Delay Perturbations
Nikolaos Bekiaris-Liberis, Miroslav Krstic
math.OCarXiv:1209.1729v12012
Parallel hybrid extragradient methods for pseudomonotone equilibrium problems and nonexpansive mappings
Dang Van Hieu, Le Dung Muu, Pham Ky Anh
math.OCarXiv:1512.07296v12015
Beyond QAOA: A Review of AI and Quantum Computing for Adaptive Combinatorial Optimization
Hoong Chuin LAU
quant-phcs.LGmath.OCarXiv:2610.11759v12026
Rare Gate Disagreements Can Limit Plasticity: When Gradient Flow Mispredicts Finite-Batch SGD
Ruoyu Zhao, Mingxuan Zhang, Jianbo Dai +3
cs.LGmath.OCstat.MLarXiv:2610.11475v12026
Quadratically constrained quadratic programs on acyclic graphs with application to power flow
Subhonmesh Bose, Dennice F. Gayme, K. Mani Chandy +1
math.OCarXiv:1203.5599v22012
Constructive Safety-Critical Control for a Class of Underactuated Systems: A Hierarchical Approach
Massimiliano de Sa, Aaron D. Ames
eess.SYcs.SYmath.OCarXiv:2610.10987v12026
Decision-Driven Regularization: A Blended Model for Learning and Optimization
Gar Goei Loke, Qinshen Tang, Yangge Xiao +1
cs.LGmath.OCarXiv:2608.15124v12026
Safe Control of Semi-Explicit Differential-Algebraic Systems: Control Barrier Functions with SOS Verification
Mohamad H. Kazma, Hongchao Zhang, Abdallah A. Albustami +4
eess.SYcs.SYmath.OCarXiv:2610.09634v12026
Boundary-aware Reinforcement Learning for Hypercube State Spaces via Deterministic Policy Gradient
Lijun Bo, Yijie Huang, Chenhao Lu
math.OCcs.LGarXiv:2610.09712v12026
High-Probability Convergence of SGD via Batched Updates
Feng Zhu, Robert W. Heath Jr., Aritra Mitra
math.OCcs.LGcs.SYarXiv:2609.12765v12026

Optimization and Control

Modeling and Analysis of Energy Harvesting and Smart Grid-Powered Wireless Communication Networks: A Contemporary Survey

A Novel Consensus-based Distributed Algorithm for Economic Dispatch Based on Local Estimation of Power Mismatch

Exact Solution Techniques for Two-dimensional Cutting and Packing

Riemannian Hessian analysis of Sobolev gradient flows for the Gross--Pitaevskii ground state problem

Lower Bounds for Randomized Linear-Oracle Optimization over Strongly Convex Sets

Private and Distributionally Robust Federated Multiclass Classification

An inverse spectral problem for the wave equation with a varying Robin parameter at the boundary

Dynamic Matching with Abandonment: Optimal Guarantees via Static Priority Policies

When Solvers Get Moody: Quantifying and Predicting Performance Variability in Mixed Integer Programming

Compressing Large Language Models using Low Rank and Low Precision Decomposition

Generalization Guarantees for Neural Networks via Harnessing the Low-rank Structure of the Jacobian

On the Certainty-Equivalence Approach to Direct Data-Driven LQR Design

Active Learning for Nonlinear System Identification with Guarantees

Structure-Aware Online Optimization of the Age of Information with Unknown System Statistics

Quality-Diversity Optimization: a novel branch of stochastic optimization

Infinite-Horizon Sparse Optimal Control: Solution through a Finite-Horizon Subproblem and Its Receding-Horizon Implementation

Centralized and distributed online learning for sparse time-varying optimization

Strongly uncontrollable network topologies

Actuator Scheduling for Linear Systems: A Convex Relaxation Approach

Pointwise-Sparse Actuator Scheduling for Linear Systems with Controllability Guarantee

A Unifying Framework for Strong Structural Controllability

Asymmetric Weighted Earliness-Tardiness: Scheduling with a Nonrestrictive Common Due Date

Nonsmooth Optimization via Orthogonalized Momentum

On the Equivalence of Stochastic Control and Path Space Formulations for Schr\"odinger Bridges over Compact Connected Lie Groups

Infinite-Horizon Differentiable Model Predictive Control

Identifiability of a dissipative knowledge-dynamics model: exact recovery under designed excitation, degeneration on observational data

Wasserstein Distributionally Robust Optimization and Variation Regularization

Control for Networked Control Systems with Remote and Local Controllers over Unreliable Communication Channel

Comparison of neural and spline representations for physics-informed learning

A scalable computational framework for establishing long-term behavior of stochastic reaction networks

Phase Retrieval Meets Statistical Learning Theory: A Flexible Convex Relaxation

When is a Convolutional Filter Easy To Learn?

Taylor Representations for Model-Free RL in Networked MDPs

Last-Iterate Convergence Rate of Normalized Gradient Descent under H\"older Smoothness

Large Stepsizes Federated Learning on Logistic Regression with Linearly Separable Data: The Case of Heterogeneous Devices

Energy-aware frugal Bayesian optimization

Trust-Region Optimization for Smooth Potential-Interaction Energies in Wasserstein Space

Convexity in semi-algebraic geometry and polynomial optimization

Curating Always-Loaded Context for LLM Agents: A Capacitated Assortment Model with Censored Feedback

Low-rank tensor completion: a Riemannian manifold preconditioning approach

Sharper Convergence Guarantees for Asynchronous SGD for Distributed and Federated Learning

Infinite Horizon Mean-Field Terminal Value Problem

An Adaptive Multi-Parameter ADMM Algorithm for Embedded MPC

LASER: Latent Space Adjoint Matching for Support-Constrained Entropy-Regularized Offline RL

Controlling the energy jump of multistable structures using shape optimization

Mean field games with nonlinear mobilities in pedestrian dynamics

Early stopping of stochastic variance reduced gradient for linear inverse problems by the discrepancy principle

Large player classes and approximately weighted voting

The Geometry of Anisotropic Dilation for Optimal Regularization

Learning Warm-Start Points for AC Optimal Power Flow

Robustness of Nonlinear Predictor Feedback Laws to Time- and State-Dependent Delay Perturbations

Parallel hybrid extragradient methods for pseudomonotone equilibrium problems and nonexpansive mappings

Beyond QAOA: A Review of AI and Quantum Computing for Adaptive Combinatorial Optimization

Rare Gate Disagreements Can Limit Plasticity: When Gradient Flow Mispredicts Finite-Batch SGD

Quadratically constrained quadratic programs on acyclic graphs with application to power flow

Constructive Safety-Critical Control for a Class of Underactuated Systems: A Hierarchical Approach

Decision-Driven Regularization: A Blended Model for Learning and Optimization

Safe Control of Semi-Explicit Differential-Algebraic Systems: Control Barrier Functions with SOS Verification

Boundary-aware Reinforcement Learning for Hypercube State Spaces via Deterministic Policy Gradient

High-Probability Convergence of SGD via Batched Updates