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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721 to 780 of 1,592

Using Battery Storage for Peak Shaving and Frequency Regulation: Joint Optimization for Superlinear Gains
Yuanyuan Shi, Bolun Xu, Di Wang +1
eess.SYcs.DCmath.OCarXiv:1702.08065v32017
Control Barrier Function Based Quadratic Programs for Safety Critical Systems
Aaron D. Ames, Xiangru Xu, Jessy W. Grizzle +1
math.OCeess.SYarXiv:1609.06408v22016
Achieving Geometric Convergence for Distributed Optimization over Time-Varying Graphs
Angelia Nedich, Alex Olshevsky, Wei Shi
math.OCarXiv:1607.03218v32016
Efficiency of minimizing compositions of convex functions and smooth maps
Dmitriy Drusvyatskiy, Courtney Paquette
math.OCarXiv:1605.00125v62016
Dynamic programming for optimal control of stochastic McKean-Vlasov dynamics
Huyên Pham, Xiaoli Wei
math.PRmath.OCarXiv:1604.04057v22016
Best Subset Selection via a Modern Optimization Lens
Dimitris Bertsimas, Angela King, Rahul Mazumder
stat.MEmath.OCstat.COarXiv:1507.03133v12015
Secondary Frequency and Voltage Control of Islanded Microgrids via Distributed Averaging
John W. Simpson-Porco, Qobad Shafiee, Florian Dorfler +3
math.OCarXiv:1504.06784v12015
Feedback Refinement Relations for the Synthesis of Symbolic Controllers
Gunther Reissig, Alexander Weber, Matthias Rungger
math.OCcs.LOeess.SYarXiv:1503.03715v32015
On the relation between optimal transport and Schrödinger bridges: A stochastic control viewpoint
Yongxin Chen, Tryphon Georgiou, Michele Pavon
eess.SYmath-phmath.OCarXiv:1412.4430v12014
Dynamic mode decomposition with control
Joshua L. Proctor, Steven L. Brunton, J. Nathan Kutz
math.OCarXiv:1409.6358v12014
Feedback Control of Negative-Imaginary Systems: Large Flexible structures with colocated actuators and sensors
Ian R. Petersen, Alexander Lanzon
eess.SYmath.OCarXiv:1401.7745v12014
Impact of Low Rotational Inertia on Power System Stability and Operation
Andreas Ulbig, Theodor S. Borsche, Göran Andersson
math.OCarXiv:1312.6435v42013
Exact Convex Relaxation of Optimal Power Flow in Radial Networks
Lingwen Gan, Na Li, Ufuk Topcu +1
math.OCarXiv:1311.7170v12013
Monitoring and Optimization for Power Grids: A Signal Processing Perspective
Georgios B. Giannakis, Vassilis Kekatos, Nikolaos Gatsis +3
math.OCstat.AParXiv:1302.0885v12013
On the O(1/k) Convergence of Asynchronous Distributed Alternating Direction Method of Multipliers
Ermin Wei, Asuman Ozdaglar
math.OCarXiv:1307.8254v12013
On the Linear Convergence of the ADMM in Decentralized Consensus Optimization
Wei Shi, Qing Ling, Kun Yuan +2
math.OCarXiv:1307.5561v42013
Distributed optimization over time-varying directed graphs
Angelia Nedic, Alex Olshevsky
math.OCcs.DCeess.SYarXiv:1303.2289v22013
Embedded Online Optimization for Model Predictive Control at Megahertz Rates
Juan L. Jerez, Paul J. Goulart, Stefan Richter +3
eess.SYmath.OCarXiv:1303.1090v12013
Distributed Optimal Power Flow for Smart Microgrids
Emiliano Dall'Anese, Hao Zhu, Georgios B. Giannakis
math.OCeess.SYarXiv:1211.5856v52012
A Unified Convergence Analysis of Block Successive Minimization Methods for Nonsmooth Optimization
Meisam Razaviyayn, Mingyi Hong, Zhi-Quan Luo
math.OCarXiv:1209.2385v12012
A Linear-Programming Approximation of AC Power Flows
Carleton Coffrin, Pascal Van Hentenryck
cs.AImath.OCarXiv:1206.3614v32012
Secure estimation and control for cyber-physical systems under adversarial attacks
Hamza Fawzi, Paulo Tabuada, Suhas Diggavi
math.OCcs.CRcs.ITarXiv:1205.5073v12012
Distributed continuous-time convex optimization on weight-balanced digraphs
Bahman Gharesifard, Jorge Cortes
math.OCeess.SYarXiv:1204.0304v22012
Diffusion Adaptation Strategies for Distributed Optimization and Learning over Networks
Jianshu Chen, Ali H. Sayed
math.OCcs.ITcs.LGarXiv:1111.0034v32011
BM3D Frames and Variational Image Deblurring
Aram Danielyan, Vladimir Katkovnik, Karen Egiazarian
math.OCarXiv:1106.6180v12011
Distributed Delayed Stochastic Optimization
Alekh Agarwal, John C. Duchi
math.OCstat.MLarXiv:1104.5525v12011
On distributed convex optimization under inequality and equality constraints via primal-dual subgradient methods
Minghui Zhu, Sonia Martinez
math.OCeess.SYarXiv:1001.2612v22010
Restoration of Poissonian Images Using Alternating Direction Optimization
Mário A. T. Figueiredo, José M. Bioucas-Dias
math.OCmath.NAarXiv:1001.2244v22010
Proximal Splitting Methods in Signal Processing
Patrick L. Combettes, Jean-Christophe Pesquet
math.OCmath.NAarXiv:0912.3522v42009
Synchronization and Transient Stability in Power Networks and Non-Uniform Kuramoto Oscillators
Florian Dorfler, Francesco Bullo
math.OCeess.SYmath-pharXiv:0910.5673v42009
Sparse Signal Reconstruction via Iterative Support Detection
Yilun Wang, Wotao Yin
cs.ITmath.NAmath.OCarXiv:0909.4359v22009
Non-linear estimation is easy
Michel Fliess, Cédric Join, Hebertt Sira-Ramirez
cs.CEcs.PFmath.ACarXiv:0710.4486v12007
What Can ResNet Learn Efficiently, Going Beyond Kernels?
Zeyuan Allen-Zhu, Yuanzhi Li
cs.LGcs.DScs.NEarXiv:1905.10337v32019
Improved Gradient Descent Lower Bounds Beyond Nesterov
Yuhan Ye, Kaizhao Liu
math.OCcs.LGstat.MLarXiv:2609.02855v22026
Smart Predict-and-Optimize for Hard Combinatorial Optimization Problems
Jaynta Mandi, Emir Demirović, Peter. J Stuckey +1
cs.LGcs.AImath.OCarXiv:1911.10092v12019
Ancillary Service to the Grid Using Intelligent Deferrable Loads
Sean Meyn, Prabir Barooah, Ana Bušić +2
math.OCeess.SYarXiv:1402.4600v12014
Quantum Annealing Implementation of Job-Shop Scheduling
Davide Venturelli, Dominic J. J. Marchand, Galo Rojo
quant-phmath.OCarXiv:1506.08479v22015
The Sparsest Solutions to $Z$-Tensor Complementarity Problems
Ziyan Luo, Liqun Qi, Naihua Xiu
math.SPmath.OCarXiv:1505.00993v12015
Simultaneous Scheduling of Multiple Frequency Services in Stochastic Unit Commitment
Luis Badesa, Fei Teng, Goran Strbac
math.OCarXiv:1809.10391v32018
Low-Rank Matrix Approximation with Weights or Missing Data is NP-hard
Nicolas Gillis, François Glineur
math.OCeess.SYmath.NAarXiv:1012.0197v22010
Reduced order model for parametric Boltzmann equation and its application to inverse problems
Shanyin Tong, Jingwei Hu, Fengyan Li +3
math.NAmath.OCarXiv:2609.02578v12026
Momentum in large-batch training: Polyak enlarges the critical batch size, Nesterov improves data efficiency
Jia-Nan Wang, Zixun Huang, Kairui Li +1
stat.MLcs.LGmath.OCarXiv:2609.02728v12026
A Unified Approach to Error Bounds for Structured Convex Optimization Problems
Zirui Zhou, Anthony Man-Cho So
math.OCcs.LGmath.NAarXiv:1512.03518v12015
Overparameterized Nonlinear Learning: Gradient Descent Takes the Shortest Path?
Samet Oymak, Mahdi Soltanolkotabi
cs.LGmath.OCstat.MLarXiv:1812.10004v12018
Online dynamic mode decomposition for time-varying systems
Hao Zhang, Clarence W. Rowley, Eric A. Deem +1
math.OCeess.SYphysics.comp-pharXiv:1707.02876v12017
A highly efficient semismooth Newton augmented Lagrangian method for solving Lasso problems
Xudong Li, Defeng Sun, Kim-Chuan Toh
math.OCarXiv:1607.05428v32016
Pathwise coordinate optimization
Jerome Friedman, Trevor Hastie, Holger Höfling +1
stat.COmath.OCarXiv:0708.1485v22007
On stabilizability and exact observability of stochastic systems with their applications
Weihai Zhang, Bor-Sen Chen
math.OCarXiv:2307.08915v12023
Incremental Gradient, Subgradient, and Proximal Methods for Convex Optimization: A Survey
Dimitri P. Bertsekas
eess.SYcs.DSmath.NAarXiv:1507.01030v22015
Improving the Flexibility and Robustness of Model-Based Derivative-Free Optimization Solvers
Coralia Cartis, Jan Fiala, Benjamin Marteau +1
math.OCarXiv:1804.00154v22018
Utility Optimal Scheduling in Energy Harvesting Networks
Longbo Huang, Michael J. Neely
math.OCarXiv:1012.1945v12010
Social Learning and Distributed Hypothesis Testing
Anusha Lalitha, Tara Javidi, Anand Sarwate
math.STcs.ITmath.OCarXiv:1410.4307v52014
Summaries:한국어
Distributed Subgradient Methods and Quantization Effects
Angelia Nedić, Alex Olshevsky, Asuman Ozdaglar +1
math.OCarXiv:0803.1202v12008
Distributed Continuous-Time Algorithm for Constrained Convex Optimizations via Nonsmooth Analysis Approach
Xianlin Zeng, Peng Yi, Yiguang Hong
math.OCarXiv:1510.07386v32015
Contraction Theory for Nonlinear Stability Analysis and Learning-based Control: A Tutorial Overview
Hiroyasu Tsukamoto, Soon-Jo Chung, Jean-Jacques E. Slotine
cs.LGcs.ROeess.SYarXiv:2110.00675v82021
Beamforming for Multiuser Massive MIMO Systems: Digital versus Hybrid Analog-Digital
Tadilo Endeshaw Bogale, Long Bao Le
math.OCarXiv:1407.0446v22014
Stochastic Optimization of Tree Tensor Networks
Marius Willner, Maximilian Scharf, André Uschmajew +2
math.OCcs.CVphysics.comp-pharXiv:2609.00870v12026
A Variable Neighborhood Search for Flying Sidekick Traveling Salesman Problem
Julia C. Freitas, Puca Huachi V. Penna
math.OCcs.AIarXiv:1804.03954v22018
Decomposition of Reachable Sets and Tubes for a Class of Nonlinear Systems
Mo Chen, Sylvia L. Herbert, Mahesh S. Vashishtha +2
math.OCarXiv:1611.00122v32016
Distributed Optimization with Arbitrary Local Solvers
Chenxin Ma, Jakub Konečný, Martin Jaggi +4
cs.LGmath.OCarXiv:1512.04039v22015

Optimization and Control

Using Battery Storage for Peak Shaving and Frequency Regulation: Joint Optimization for Superlinear Gains

Control Barrier Function Based Quadratic Programs for Safety Critical Systems

Achieving Geometric Convergence for Distributed Optimization over Time-Varying Graphs

Efficiency of minimizing compositions of convex functions and smooth maps

Dynamic programming for optimal control of stochastic McKean-Vlasov dynamics

Best Subset Selection via a Modern Optimization Lens

Secondary Frequency and Voltage Control of Islanded Microgrids via Distributed Averaging

Feedback Refinement Relations for the Synthesis of Symbolic Controllers

On the relation between optimal transport and Schrödinger bridges: A stochastic control viewpoint

Dynamic mode decomposition with control

Feedback Control of Negative-Imaginary Systems: Large Flexible structures with colocated actuators and sensors

Impact of Low Rotational Inertia on Power System Stability and Operation

Exact Convex Relaxation of Optimal Power Flow in Radial Networks

Monitoring and Optimization for Power Grids: A Signal Processing Perspective

On the O(1/k) Convergence of Asynchronous Distributed Alternating Direction Method of Multipliers

On the Linear Convergence of the ADMM in Decentralized Consensus Optimization

Distributed optimization over time-varying directed graphs

Embedded Online Optimization for Model Predictive Control at Megahertz Rates

Distributed Optimal Power Flow for Smart Microgrids

A Unified Convergence Analysis of Block Successive Minimization Methods for Nonsmooth Optimization

A Linear-Programming Approximation of AC Power Flows

Secure estimation and control for cyber-physical systems under adversarial attacks

Distributed continuous-time convex optimization on weight-balanced digraphs

Diffusion Adaptation Strategies for Distributed Optimization and Learning over Networks

BM3D Frames and Variational Image Deblurring

Distributed Delayed Stochastic Optimization

On distributed convex optimization under inequality and equality constraints via primal-dual subgradient methods

Restoration of Poissonian Images Using Alternating Direction Optimization

Proximal Splitting Methods in Signal Processing

Synchronization and Transient Stability in Power Networks and Non-Uniform Kuramoto Oscillators

Sparse Signal Reconstruction via Iterative Support Detection

Non-linear estimation is easy

What Can ResNet Learn Efficiently, Going Beyond Kernels?

Improved Gradient Descent Lower Bounds Beyond Nesterov

Smart Predict-and-Optimize for Hard Combinatorial Optimization Problems

Ancillary Service to the Grid Using Intelligent Deferrable Loads

Quantum Annealing Implementation of Job-Shop Scheduling

The Sparsest Solutions to $Z$-Tensor Complementarity Problems

Simultaneous Scheduling of Multiple Frequency Services in Stochastic Unit Commitment

Low-Rank Matrix Approximation with Weights or Missing Data is NP-hard

Reduced order model for parametric Boltzmann equation and its application to inverse problems

Momentum in large-batch training: Polyak enlarges the critical batch size, Nesterov improves data efficiency

A Unified Approach to Error Bounds for Structured Convex Optimization Problems

Overparameterized Nonlinear Learning: Gradient Descent Takes the Shortest Path?

Online dynamic mode decomposition for time-varying systems

A highly efficient semismooth Newton augmented Lagrangian method for solving Lasso problems

Pathwise coordinate optimization

On stabilizability and exact observability of stochastic systems with their applications

Incremental Gradient, Subgradient, and Proximal Methods for Convex Optimization: A Survey

Improving the Flexibility and Robustness of Model-Based Derivative-Free Optimization Solvers

Utility Optimal Scheduling in Energy Harvesting Networks

Social Learning and Distributed Hypothesis Testing

Distributed Subgradient Methods and Quantization Effects

Distributed Continuous-Time Algorithm for Constrained Convex Optimizations via Nonsmooth Analysis Approach

Contraction Theory for Nonlinear Stability Analysis and Learning-based Control: A Tutorial Overview

Beamforming for Multiuser Massive MIMO Systems: Digital versus Hybrid Analog-Digital

Stochastic Optimization of Tree Tensor Networks

A Variable Neighborhood Search for Flying Sidekick Traveling Salesman Problem

Decomposition of Reachable Sets and Tubes for a Class of Nonlinear Systems

Distributed Optimization with Arbitrary Local Solvers