Cover Image

On the Convergence of Interior-Point Methods for Bound-Constrained Nonlinear Optimization Problems with Noise

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Dezfulian, Shima, Wächter, Andreas
Format:	Preprint
Published:	2024
Subjects:	Optimization and Control 65K05, 49M37, 90C53, 90C30, 90C51
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

An Interior-Point Algorithm for Continuous Nonlinearly Constrained Optimization with Noisy Function and Derivative Evaluations
by: Curtis, Frank E., et al.
Published: (2025)

Penalty Interior-Point Method Fails to Converge
by: Leyffer, Sven
Published: (2003)

A Two Stepsize SQP Method for Nonlinear Equality Constrained Stochastic Optimization
by: O'Neill, Michael J.
Published: (2024)

Asymptotic Convergence and Stability of Adaptive Gradient Methods in Smooth Non-convex Optimization
by: Jin, Ruinan, et al.
Published: (2026)

Efficiency and Convergence Insights in Large-Scale Optimization Using the Improved Inexact-Newton-Smart Algorithm and Interior-Point Framework
by: Renani, Neda Bagheri, et al.
Published: (2025)

On the Convergence and Complexity of Proximal Gradient and Accelerated Proximal Gradient Methods under Adaptive Gradient Estimation
by: Bollapragada, Raghu, et al.
Published: (2025)

Retrospective Approximation Sequential Quadratic Programming for Stochastic Optimization with General Deterministic Nonlinear Constraints
by: Berahas, Albert S., et al.
Published: (2025)

Nonlinear Derivative-free Constrained Optimization with a Penalty-Interior Point Method and Direct Search
by: Brilli, Andrea, et al.
Published: (2024)

Trust-Region Method for Optimization of Set-Valued Maps Given by Finitely Many Functions
by: Ghosh, Suprova, et al.
Published: (2025)

A Proximal Stochastic Gradient Method with Adaptive Step Size and Variance Reduction for Convex Composite Optimization
by: Fang, Changjie, et al.
Published: (2025)

Level Constrained First Order Methods for Function Constrained Optimization
by: Boob, Digvijay, et al.
Published: (2022)

A Second-Order Algorithm Based on Affine Scaling Interior-Point Methods for nonlinear Optimisation with bound constraints
by: Pei, Yonggang, et al.
Published: (2026)

The Grimmer--Shu--Wang Certificate and the Drori--Teboulle Minimax Constant-Stepsize Bound for $N\ge 3$
by: Zhang, Lixing
Published: (2026)

A Globally Convergent Method for Computing B-stationary Points of Mathematical Programs with Equilibrium Constraints
by: Nurkanović, Armin, et al.
Published: (2025)

Implementing a unified solver for nonlinearly constrained optimization
by: Vanaret, Charlie, et al.
Published: (2024)

Parameter-Free Accelerated Quasi-Newton Method for Nonconvex Optimization
by: Marumo, Naoki
Published: (2025)

Alternating Gradient-Type Algorithm for Bilevel Optimization with Inexact Lower-Level Solutions via Moreau Envelope-based Reformulation
by: Bai, Xiaoning, et al.
Published: (2024)

Riemannian Interior Point Methods for Constrained Optimization on Manifolds
by: Lai, Zhijian, et al.
Published: (2022)

Augmented Lagrangian methods for fully convex composite optimization
by: De Marchi, Alberto, et al.
Published: (2025)

First- and Second-Order Stochastic Adaptive Regularization with Cubics: High Probability Iteration and Sample Complexity
by: Scheinberg, Katya, et al.
Published: (2023)

Complexity of an inexact stochastic SQP algorithm for equality constrained optimization
by: O'Neill, Michael J., et al.
Published: (2026)

On the Convergence Rates of Iterative Regularization Algorithms for Composite Bi-Level Optimization
by: Shtern, Shimrit, et al.
Published: (2025)

A cut-and-project perspective for linearized Bregman iterations
by: Dai, Yu-Hong, et al.
Published: (2024)

A penalty barrier framework for nonconvex constrained optimization
by: De Marchi, Alberto, et al.
Published: (2024)

MGProx: A nonsmooth multigrid proximal gradient method with adaptive restriction for strongly convex optimization
by: Ang, Andersen, et al.
Published: (2023)

On the asymptotic behavior of a higher-order extrapolation primal-dual interior-point method for nonlinear programming
by: Heeman, Pim, et al.
Published: (2025)

A non-monotone trust-region method with noisy oracles and additional sampling
by: Krejic, Natasa, et al.
Published: (2023)

Mathematical programs with complementarity constraints and application to hyperparameter tuning for nonlinear support vector machines
by: Ward, Samuel, et al.
Published: (2025)

Local Convergence Results for Sequential Quadratic Programming with Complementarity Constraints
by: Nurkanović, Armin
Published: (2026)

Optimization in Theory and Practice
by: Wright, Stephen J.
Published: (2025)

A linesearch-type normal map-based semismooth Newton method for nonsmooth nonconvex composite optimization
by: Zeng, Hanfeng, et al.
Published: (2026)

Variational Properties of Decomposable Functions. Part I: Strict Epi-Calculus and Applications
by: Ouyang, Wenqing, et al.
Published: (2023)

Variational Properties of Decomposable Functions. Part II: Strong Second-Order Theory
by: Ouyang, Wenqing, et al.
Published: (2023)

Efficient Implementation of Third-Order Tensor Methods with Adaptive Regularization for Unconstrained Optimization
by: Cartis, Coralia, et al.
Published: (2024)

A Massively Parallel Interior-Point Method for Arrowhead Linear Programs with Local Linking Structure
by: Kempke, Nils-Christian, et al.
Published: (2024)

Inexact Proximal Point Algorithms for Zeroth-Order Global Optimization
by: Zhang, Minxin, et al.
Published: (2024)

Nonmonotone subgradient methods based on a local descent lemma
by: Aragón-Artacho, Francisco J., et al.
Published: (2025)

A Proximal-Gradient Method for Constrained Optimization
by: Dai, Yutong, et al.
Published: (2024)

Model-Driven Subspaces for Large-Scale Optimization with Local Approximation Strategy
by: He, Yitong, et al.
Published: (2025)

Parallel block coordinate descent methods with identification strategies
by: Lopes, Ronaldo, et al.
Published: (2025)