:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Kuang, Wei, Montoison, Alexis, Rao, Vishwas, Pacaud, François, Anitescu, Mihai
Format:	Preprint
Published:	2025
Subjects:	Optimization and Control
Online Access:	https://arxiv.org/abs/2502.04217
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

GPU Implementation of Second-Order Linear and Nonlinear Programming Solvers
by: Montoison, Alexis, et al.
Published: (2025)

Condensed-space methods for nonlinear programming on GPUs
by: Pacaud, François, et al.
Published: (2024)

An Augmented Lagrangian Method on GPU for Security-Constrained AC Optimal Power Flow
by: Pacaud, François, et al.
Published: (2025)

MadNCL: A GPU Implementation of Algorithm NCL for Large-Scale, Degenerate Nonlinear Programs
by: Montoison, Alexis, et al.
Published: (2025)

Exploiting GPU/SIMD Architectures for Solving Linear-Quadratic MPC Problems
by: Cole, David, et al.
Published: (2022)

Accelerating Optimal Power Flow with GPUs: SIMD Abstraction of Nonlinear Programs and Condensed-Space Interior-Point Methods
by: Shin, Sungho, et al.
Published: (2023)

Weakly-Constrained 4D Var for Downscaling with Uncertainty using Data-Driven Surrogate Models
by: Dinenis, Philip, et al.
Published: (2025)

Constrained Policy Optimization for Stochastic Optimal Control under Nonstationary Uncertainties
by: Shin, Sungho, et al.
Published: (2022)

Scalable Multi-Period AC Optimal Power Flow Utilizing GPUs with High Memory Capacities
by: Shin, Sungho, et al.
Published: (2024)

A Feasible Reduced Space Method for Real-Time Optimal Power Flow
by: Pacaud, François, et al.
Published: (2021)

GPU-accelerated dynamic nonlinear optimization with ExaModels and MadNLP
by: Pacaud, François, et al.
Published: (2024)

Online Covariance Matrix Estimation in Sketched Newton Methods
by: Kuang, Wei, et al.
Published: (2025)

Modeling and Optimization of Control Problems on GPUs
by: Montoison, Alexis, et al.
Published: (2025)

Dampening parameter distributional shifts under robust control and gain scheduling
by: Ramadan, Mohammad, et al.
Published: (2024)

Sensitivity analysis for parametric nonlinear programming: A tutorial
by: Pacaud, François
Published: (2025)

Near-Optimal Performance of Stochastic Model Predictive Control
by: Shin, Sungho, et al.
Published: (2022)

Exponential Decay of Sensitivity in Graph-Structured Nonlinear Programs
by: Shin, Sungho, et al.
Published: (2021)

Improved Approximation Bounds for Moore-Penrose Inverses of Banded Matrices with Applications to Continuous-Time Linear Quadratic Control
by: Shin, Sungho, et al.
Published: (2024)

Parallel Sequential Quadratic Programming with Overlapping Graph Decomposition and Exact Augmented Lagrangian
by: Ni, Runxin, et al.
Published: (2024)

Local near-quadratic convergence of Riemannian interior point methods
by: Obara, Mitsuaki, et al.
Published: (2025)

A warmstarting technique for general conic optimization in interior point methods
by: Chen, Yuwen, et al.
Published: (2025)

Near-Optimal Distributed Linear-Quadratic Regulator for Networked Systems
by: Shin, Sungho, et al.
Published: (2022)

Differential dynamic programming with stagewise equality and inequality constraints using interior point method
by: Prabhu, Siddharth, et al.
Published: (2024)

A factorisation-based regularised interior point method using the augmented system
by: Zanetti, Filippo, et al.
Published: (2025)

On the Convergence of Overlapping Schwarz Decomposition for Nonlinear Optimal Control
by: Na, Sen, et al.
Published: (2020)

Newton and interior-point methods for (constrained) nonconvex-nonconcave minmax optimization with stability and instability guarantees
by: Chinchilla, Raphael, et al.
Published: (2022)

A penalty-interior point method combined with MADS for equality and inequality constrained optimization
by: Audet, Charles, et al.
Published: (2026)

Quantum speedups for linear programming via interior point methods
by: Apers, Simon, et al.
Published: (2023)

Reinforcement learning for adaptive interior point methods in convex quadratic programming
by: Bertoncini, Jeremy, et al.
Published: (2025)

Negative curvature obstructs the existence of good barriers for interior-point methods
by: Criscitiello, Christopher, et al.
Published: (2026)

An adaptive cubic regularisation algorithm based on interior point methods for solving nonlinear inequality constrained optimization
by: Pei, Yonggang, et al.
Published: (2024)

A primal-dual interior point trust region method for second-order stationary points of Riemannian inequality-constrained optimization problems
by: Obara, Mitsuaki, et al.
Published: (2025)

Overlapping Schwarz Scheme for Linear-Quadratic Programs in Continuous Time
by: Zhao, Hongli, et al.
Published: (2025)

A structured modified Newton approach for solving systems of nonlinear equations arising in interior-point methods for quadratic programming
by: Ek, David, et al.
Published: (2020)

Optimal Operation and Valuation of Electricity Storages
by: Chancelier, Jean-Philippe, et al.
Published: (2025)

Clarabel: An interior-point solver for conic programs with quadratic objectives
by: Goulart, Paul J., et al.
Published: (2024)

Local convergence of primal-dual interior point methods for nonlinear semidefinite optimization using the Monteiro-Tsuchiya family of search directions
by: Okuno, Takayuki
Published: (2020)

Integral control of the proximal gradient method for unbiased sparse optimization
by: Cerone, V., et al.
Published: (2025)

A Framework for Balancing Power Grid Efficiency and Risk with Bi-objective Stochastic Integer Optimization
by: Rossmann, Ramsey, et al.
Published: (2024)

Optimal Operation and Valuation of Electricity Storages in Intraday Markets
by: Chancelier, Jean-Philippe, et al.
Published: (2025)