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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241 to 300 of 1,592

Restoration of Images Corrupted by Impulse Noise and Mixed Gaussian Impulse Noise using Blind Inpainting
Ming Yan
math.OCcs.CVmath.NAarXiv:1304.1408v12013
A unifying energy-based approach to stability of power grids with market dynamics
Tjerk Stegink, Claudio De Persis, Arjan van der Schaft
math.OCeess.SYarXiv:1604.05200v22016
A Convergent 3-Block Semi-Proximal Alternating Direction Method of Multipliers for Conic Programming with $4$-Type of Constraints
Defeng Sun, Kim-Chuan Toh, Liuqin Yang
math.OCarXiv:1404.5378v22014
Exact Worst-case Performance of First-order Methods for Composite Convex Optimization
Adrien B. Taylor, Julien M. Hendrickx, François Glineur
math.OCarXiv:1512.07516v42015
Open-Loop and Closed-Loop Solvabilities for Stochastic Linear Quadratic Optimal Control Problems
Jingrui Sun, Xun Li, Jiongmin Yong
math.OCarXiv:1508.02163v12015
A Survey of Recent Advances in Optimization Methods for Wireless Communications
Ya-Feng Liu, Tsung-Hui Chang, Mingyi Hong +4
cs.ITeess.SPmath.OCarXiv:2401.12025v32024
Optimal exponential memory for sequential Euclidean connections: edge-power costs and phase transitions
Pedro M. M. de Castro
cs.CGmath.OCarXiv:2608.27777v22026
Minimum Manhattan Distance Approach to Multiple Criteria Decision Making in Multiobjective Optimization Problems
Wei-Yu Chiu, Gary G. Yen, Teng-Kuei Juan
math.OCarXiv:1705.01705v12017
Mini-Batch Risk-Averse Deep Q-Learning: A Robot Navigation Case Study
Aayush Patel, Andrzej Ruszczyński
cs.AImath.OCarXiv:2609.07998v12026
Robustness of Interdependent Networks: The case of communication networks and the power grid
Marzieh Parandehgheibi, Eytan Modiano
math.OCcs.NIarXiv:1304.0356v12013
Bayesian Optimization of Combinatorial Structures
Ricardo Baptista, Matthias Poloczek
stat.MLcs.LGmath.OCarXiv:1806.08838v22018
Provably Efficient Reinforcement Learning with Linear Function Approximation Under Adaptivity Constraints
Tianhao Wang, Dongruo Zhou, Quanquan Gu
cs.LGmath.OCstat.MLarXiv:2101.02195v22021
Extracting Sparse High-Dimensional Dynamics from Limited Data
Hayden Schaeffer, Giang Tran, Rachel Ward
math.OCarXiv:1707.08528v22017
A Decomposition Algorithm to Solve the Multi-Hop Peer-to-Peer Ride-Matching Problem
Neda Masoud, R. Jayakrishnan
cs.DSmath.OCarXiv:1704.06838v12017
Adaptive Leader-Following Consensus for a Class of Higher-Order Nonlinear Multi-Agent Systems with Directed Switching Networks
Wei Liu, Jie Huang
math.OCarXiv:1601.07071v22016
Stochastic Nested Variance Reduction for Nonconvex Optimization
Dongruo Zhou, Pan Xu, Quanquan Gu
cs.LGmath.OCstat.MLarXiv:1806.07811v22018
Global Uniqueness and Solvability for Tensor Complementarity Problems
Xue-Li Bai, Zheng-Hai Huang, Yong Wang
math.OCarXiv:1508.06012v12015
Old Optimizer, New Norm: An Anthology
Jeremy Bernstein, Laker Newhouse
cs.LGmath.OCarXiv:2409.20325v22024
On the Convergence of Adaptive Gradient Methods for Nonconvex Optimization
Dongruo Zhou, Jinghui Chen, Yuan Cao +2
cs.LGmath.OCstat.MLarXiv:1808.05671v42018
Stochastic Majorization-Minimization Algorithms for Large-Scale Optimization
Julien Mairal
stat.MLcs.LGmath.OCarXiv:1306.4650v22013
Non-Asymptotic Gap-Dependent Regret Bounds for Tabular MDPs
Max Simchowitz, Kevin Jamieson
cs.LGmath.OCmath.STarXiv:1905.03814v22019
State Transition Algorithm
Xiaojun Zhou, Chunhua Yang, Weihua Gui
math.OCcs.NEarXiv:1205.6548v42012
High-Speed Finite Control Set Model Predictive Control for Power Electronics
Bartolomeo Stellato, Tobias Geyer, Paul J. Goulart
math.OCarXiv:1510.05578v32015
Periodic Event-Triggered Synchronization of Linear Multi-agent Systems with Communication Delays
Eloy Garcia, Yongcan Cao, David W. Casbeer
math.OCarXiv:1504.03582v12015
Automatic crosswind flight of tethered wings for airborne wind energy: modeling, control design and experimental results
Lorenzo Fagiano, Aldo U. Zgraggen, Manfred Morari +1
eess.SYmath.OCarXiv:1301.1064v22013
Scalable and efficient algorithms for the propagation of uncertainty from data through inference to prediction for large-scale problems, with application to flow of the Antarctic ice sheet
Tobin Isaac, Noemi Petra, Georg Stadler +1
math.OCmath.NAstat.COarXiv:1410.1221v22014
Robust topology optimization with non-Gaussian material fields using polygonal finite elements
Nilton Cuellar, Anderson Pereira, Ivan F. M. Menezes +1
cs.CEmath.NAmath.OCarXiv:2609.05466v12026
Two Algorithms for Orthogonal Nonnegative Matrix Factorization with Application to Clustering
Filippo Pompili, Nicolas Gillis, P. -A. Absil +1
math.OCcs.IRarXiv:1201.0901v22012
Stochastic Block BFGS: Squeezing More Curvature out of Data
Robert M. Gower, Donald Goldfarb, Peter Richtárik
math.OCarXiv:1603.09649v12016
The Cooperative Output Regulation Problem of Discrete-Time Linear Multi-Agent Systems by the Adaptive Distributed Observer
Jie Huang
math.OCarXiv:1703.10359v12017
Random Reshuffling: Simple Analysis with Vast Improvements
Konstantin Mishchenko, Ahmed Khaled, Peter Richtárik
math.OCcs.LGstat.MLarXiv:2006.05988v32020
EV Dispatch Control for Supplementary Frequency Regulation Considering the Expectation of EV Owners
Hui Liu, Junjian Qi, Jianhui Wang +3
math.OCarXiv:1608.04004v22016
Maximum Hands-Off Control: A Paradigm of Control Effort Minimization
M. Nagahara, D. E. Quevedo, D. Nesic
eess.SYcs.ITmath.OCarXiv:1408.3025v22014
Tensor Complementarity Problem and Semi-positive Tensors
Yisheng Song, Liqun Qi
math.OCarXiv:1502.02209v12015
A Class of Prediction-Correction Methods for Time-Varying Convex Optimization
Andrea Simonetto, Aryan Mokhtari, Alec Koppel +2
cs.ITmath.OCarXiv:1509.05196v22015
Generalization Error Bounds of Gradient Descent for Learning Over-parameterized Deep ReLU Networks
Yuan Cao, Quanquan Gu
cs.LGmath.OCstat.MLarXiv:1902.01384v42019
A geometric alternative to Nesterov's accelerated gradient descent
Sébastien Bubeck, Yin Tat Lee, Mohit Singh
math.OCcs.DScs.LGarXiv:1506.08187v12015
Tightness of the maximum likelihood semidefinite relaxation for angular synchronization
Afonso S. Bandeira, Nicolas Boumal, Amit Singer
math.OCarXiv:1411.3272v32014
Gradient Step Denoiser for convergent Plug-and-Play
Samuel Hurault, Arthur Leclaire, Nicolas Papadakis
cs.CVeess.IVmath.OCarXiv:2110.03220v22021
A Wasserstein-type distance in the space of Gaussian Mixture Models
Julie Delon, Agnes Desolneux
math.OCarXiv:1907.05254v42019
An Introduction to Pursuit-evasion Differential Games
Isaac E. Weintraub, Meir Pachter, Eloy Garcia
math.OCarXiv:2003.05013v12020
The effect of transmission-line dynamics on grid-forming dispatchable virtual oscillator control
Dominic Groß, Marcello Colombino, Jean-Sébastien Brouillon +1
math.OCarXiv:1802.08881v32018
State Estimation over Sensor Networks with Correlated Wireless Fading Channels
Daniel E. Quevedo, Anders Ahlen, Karl H. Johansson
math.OCcs.ITeess.SYarXiv:1308.1725v12013
Taming the Wild: A Unified Analysis of Hogwild!-Style Algorithms
Christopher De Sa, Ce Zhang, Kunle Olukotun +1
cs.LGmath.OCstat.MLarXiv:1506.06438v22015
Summaries:한국어
An Efficient Inexact Symmetric Gauss-Seidel Based Majorized ADMM for High-Dimensional Convex Composite Conic Programming
Liang Chen, Defeng Sun, Kim-Chuan Toh
math.OCarXiv:1506.00741v22015
Finite Sample Analysis of Stochastic System Identification
Anastasios Tsiamis, George J. Pappas
cs.LGeess.SYmath.OCarXiv:1903.09122v12019
RES: Regularized Stochastic BFGS Algorithm
Aryan Mokhtari, Alejandro Ribeiro
cs.LGmath.OCstat.MLarXiv:1401.7625v12014
A Unified Theory of SGD: Variance Reduction, Sampling, Quantization and Coordinate Descent
Eduard Gorbunov, Filip Hanzely, Peter Richtárik
math.OCcs.LGmath.NAarXiv:1905.11261v12019
Optimal Scheduling of Integrated Demand Response-Enabled Community Integrated Energy Systems in Uncertain Environments
Yang Li, Bin Wang, Zhen Yang +2
eess.SYeess.SPmath.OCarXiv:2108.08055v12021
Concurrent learning for parameter estimation using dynamic state-derivative estimators
Rushikesh Kamalapurkar, Ben Reish, Girish Chowdhary +1
eess.SYmath.OCarXiv:1507.08903v12015
Stochastic Optimization with Heavy-Tailed Noise via Accelerated Gradient Clipping
Eduard Gorbunov, Marina Danilova, Alexander Gasnikov
math.OCcs.LGarXiv:2005.10785v22020
A survey on fuzzy fractional differential and optimal control nonlocal evolution equations
Ravi P. Agarwal, Dumitru Baleanu, Juan J. Nieto +2
math.OCarXiv:1709.07766v12017
Distributed Multi-Agent Optimization with State-Dependent Communication
Ilan Lobel, Asuman Ozdaglar, Diego Feijer
math.OCarXiv:1004.0969v12010
Game-Theoretic Analysis of the Hegselmann-Krause Model for Opinion Dynamics in Finite Dimensions
Seyed Rasoul Etesami, Tamer Basar
cs.GTcs.DMcs.MAarXiv:1412.6546v12014
Dwell-time stability and stabilization conditions for linear positive impulsive and switched systems
Corentin Briat
math.OCeess.SYarXiv:1608.02741v32016
DSA: Decentralized Double Stochastic Averaging Gradient Algorithm
Aryan Mokhtari, Alejandro Ribeiro
math.OCarXiv:1506.04216v12015
Sample Efficient Reinforcement Learning with REINFORCE
Junzi Zhang, Jongho Kim, Brendan O'Donoghue +1
cs.LGmath.OCarXiv:2010.11364v22020
Efficient Inverse Maintenance and Faster Algorithms for Linear Programming
Yin Tat Lee, Aaron Sidford
cs.DSmath.NAmath.OCarXiv:1503.01752v32015
A Near-Optimal Algorithm for Stochastic Bilevel Optimization via Double-Momentum
Prashant Khanduri, Siliang Zeng, Mingyi Hong +3
math.OCcs.LGstat.MLarXiv:2102.07367v32021
A Model Predictive Control Approach for Low-Complexity Electric Vehicle Charging Scheduling: Optimality and Scalability
Wanrong Tang, Ying Jun Zhang
math.OCcs.PFeess.SYarXiv:1502.01456v32015

Optimization and Control

Restoration of Images Corrupted by Impulse Noise and Mixed Gaussian Impulse Noise using Blind Inpainting

A unifying energy-based approach to stability of power grids with market dynamics

A Convergent 3-Block Semi-Proximal Alternating Direction Method of Multipliers for Conic Programming with $4$-Type of Constraints

Exact Worst-case Performance of First-order Methods for Composite Convex Optimization

Open-Loop and Closed-Loop Solvabilities for Stochastic Linear Quadratic Optimal Control Problems

A Survey of Recent Advances in Optimization Methods for Wireless Communications

Optimal exponential memory for sequential Euclidean connections: edge-power costs and phase transitions

Minimum Manhattan Distance Approach to Multiple Criteria Decision Making in Multiobjective Optimization Problems

Mini-Batch Risk-Averse Deep Q-Learning: A Robot Navigation Case Study

Robustness of Interdependent Networks: The case of communication networks and the power grid

Bayesian Optimization of Combinatorial Structures

Provably Efficient Reinforcement Learning with Linear Function Approximation Under Adaptivity Constraints

Extracting Sparse High-Dimensional Dynamics from Limited Data

A Decomposition Algorithm to Solve the Multi-Hop Peer-to-Peer Ride-Matching Problem

Adaptive Leader-Following Consensus for a Class of Higher-Order Nonlinear Multi-Agent Systems with Directed Switching Networks

Stochastic Nested Variance Reduction for Nonconvex Optimization

Global Uniqueness and Solvability for Tensor Complementarity Problems

Old Optimizer, New Norm: An Anthology

On the Convergence of Adaptive Gradient Methods for Nonconvex Optimization

Stochastic Majorization-Minimization Algorithms for Large-Scale Optimization

Non-Asymptotic Gap-Dependent Regret Bounds for Tabular MDPs

State Transition Algorithm

High-Speed Finite Control Set Model Predictive Control for Power Electronics

Periodic Event-Triggered Synchronization of Linear Multi-agent Systems with Communication Delays

Automatic crosswind flight of tethered wings for airborne wind energy: modeling, control design and experimental results

Scalable and efficient algorithms for the propagation of uncertainty from data through inference to prediction for large-scale problems, with application to flow of the Antarctic ice sheet

Robust topology optimization with non-Gaussian material fields using polygonal finite elements

Two Algorithms for Orthogonal Nonnegative Matrix Factorization with Application to Clustering

Stochastic Block BFGS: Squeezing More Curvature out of Data

The Cooperative Output Regulation Problem of Discrete-Time Linear Multi-Agent Systems by the Adaptive Distributed Observer

Random Reshuffling: Simple Analysis with Vast Improvements

EV Dispatch Control for Supplementary Frequency Regulation Considering the Expectation of EV Owners

Maximum Hands-Off Control: A Paradigm of Control Effort Minimization

Tensor Complementarity Problem and Semi-positive Tensors

A Class of Prediction-Correction Methods for Time-Varying Convex Optimization

Generalization Error Bounds of Gradient Descent for Learning Over-parameterized Deep ReLU Networks

A geometric alternative to Nesterov's accelerated gradient descent

Tightness of the maximum likelihood semidefinite relaxation for angular synchronization

Gradient Step Denoiser for convergent Plug-and-Play

A Wasserstein-type distance in the space of Gaussian Mixture Models

An Introduction to Pursuit-evasion Differential Games

The effect of transmission-line dynamics on grid-forming dispatchable virtual oscillator control

State Estimation over Sensor Networks with Correlated Wireless Fading Channels

Taming the Wild: A Unified Analysis of Hogwild!-Style Algorithms

An Efficient Inexact Symmetric Gauss-Seidel Based Majorized ADMM for High-Dimensional Convex Composite Conic Programming

Finite Sample Analysis of Stochastic System Identification

RES: Regularized Stochastic BFGS Algorithm

A Unified Theory of SGD: Variance Reduction, Sampling, Quantization and Coordinate Descent

Optimal Scheduling of Integrated Demand Response-Enabled Community Integrated Energy Systems in Uncertain Environments

Concurrent learning for parameter estimation using dynamic state-derivative estimators

Stochastic Optimization with Heavy-Tailed Noise via Accelerated Gradient Clipping

A survey on fuzzy fractional differential and optimal control nonlocal evolution equations

Distributed Multi-Agent Optimization with State-Dependent Communication

Game-Theoretic Analysis of the Hegselmann-Krause Model for Opinion Dynamics in Finite Dimensions

Dwell-time stability and stabilization conditions for linear positive impulsive and switched systems

DSA: Decentralized Double Stochastic Averaging Gradient Algorithm

Sample Efficient Reinforcement Learning with REINFORCE

Efficient Inverse Maintenance and Faster Algorithms for Linear Programming

A Near-Optimal Algorithm for Stochastic Bilevel Optimization via Double-Momentum

A Model Predictive Control Approach for Low-Complexity Electric Vehicle Charging Scheduling: Optimality and Scalability