:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Royer, Clément W., Sohab, Oumaima, Vicente, Luis Nunes
Format:	Preprint
Published:	2023
Subjects:	Optimization and Control
Online Access:	https://arxiv.org/abs/2310.00755
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Feasible Method for Constrained Derivative-Free Optimization
by: Xuan, Melody Qiming, et al.
Published: (2024)

Complexity analysis of regularization methods for implicitly constrained least squares
by: Onwunta, Akwum, et al.
Published: (2023)

Riemannian trust-region methods for strict saddle functions with complexity guarantees
by: Goyens, Florentin, et al.
Published: (2024)

Polling Set Construction and Worst-Case Complexity for Direct Search under Polyhedral Convex Constraints
by: Roberts, Lindon, et al.
Published: (2026)

Derivative-Free Bound-Constrained Optimization for Solving Structured Problems with Surrogate Models
by: Curtis, Frank E., et al.
Published: (2022)

Model Construction for Convex-Constrained Derivative-Free Optimization
by: Roberts, Lindon
Published: (2024)

A Finite-Difference Trust-Region Method for Convexly Constrained Smooth Optimization
by: Davar, Dânâ, et al.
Published: (2025)

Analysis of the SQP Method for Hyperbolic PDE-Constrained Optimization in Acoustic Full Waveform Inversion
by: Ammann, Luis, et al.
Published: (2024)

Proximal Projection Method for Stable Linearly Constrained Optimization
by: Heaton, Howard
Published: (2024)

Complexity guarantees and polling strategies for Riemannian direct-search methods
by: Cavarretta, Bastien, et al.
Published: (2025)

A line search framework with restarting for noisy optimization problems
by: Berahas, Albert S., et al.
Published: (2025)

The Error in Multivariate Linear Extrapolation with Applications to Derivative-Free Optimization
by: Cao, Liyuan, et al.
Published: (2023)

First-Order Methods for Linearly Constrained Bilevel Optimization
by: Kornowski, Guy, et al.
Published: (2024)

Scalable Derivative-Free Optimization Algorithms with Low-Dimensional Subspace Techniques
by: Zhang, Zaikun
Published: (2025)

Lower Bounds for Linear Minimization Oracle Methods Optimizing over Strongly Convex Sets
by: Grimmer, Benjamin, et al.
Published: (2026)

Nonlinear Derivative-free Constrained Optimization with a Penalty-Interior Point Method and Direct Search
by: Brilli, Andrea, et al.
Published: (2025)

Sequential test sampling for stochastic derivative-free optimization
by: Ding, Anjie, et al.
Published: (2025)

Non-smooth stochastic gradient descent using smoothing functions
by: Giovannelli, Tommaso, et al.
Published: (2025)

Distributed Derivative-Free Optimization Using Inexact ADMM and Trust-Region Methods
by: Fasiku, Damilola, et al.
Published: (2025)

Zeroth-Order Katyusha: An Accelerated Derivative-Free Method for Composite Convex Optimization
by: Zhang, Silan, et al.
Published: (2024)

Direct-search methods for decentralized blackbox optimization
by: Bergou, El Houcine, et al.
Published: (2025)

Full Convergence of Regularized Methods for Unconstrained Optimization
by: Cristofari, Andrea
Published: (2025)

Ergodic-Risk Constrained Policy Optimization: The Linear Quadratic Case
by: Talebi, Shahriar, et al.
Published: (2025)

A Partially Derivative-Free Proximal Method for Composite Multiobjective Optimization in the Hölder Setting
by: Amaral, V. S., et al.
Published: (2025)

Primal-Dual Bundle Methods for Linear Equality-Constrained Problems
by: Zheng, Zhuoqing, et al.
Published: (2025)

Pareto sensitivity, most-changing sub-fronts, and knee solutions
by: Giovannelli, Tommaso, et al.
Published: (2025)

ripALM: A Relative-Type Inexact Proximal Augmented Lagrangian Method for Linearly Constrained Convex Optimization
by: Zhu, Jiayi, et al.
Published: (2024)

Interpolation-Based Gradient-Error Bounds for Use in Derivative-Free Optimization of Noisy Functions
by: Marchetti, Alejandro G., et al.
Published: (2025)

A Momentum-based Stochastic Algorithm for Linearly Constrained Nonconvex Optimization
by: Qiu, Chenyang, et al.
Published: (2026)

On the Robustness of Derivative-free Methods for Linear Quadratic Regulator
by: Li, Weijian, et al.
Published: (2025)

Guaranteed Feasibility in Differentially Private Linearly Constrained Convex Optimization
by: Benvenuti, Alexander, et al.
Published: (2024)

New Bounds for Exact Penalized Cardinality-Constrained Optimization with Pseudonormality Conditions
by: Pan, Lili, et al.
Published: (2026)

Complexity Analysis of the Regular Simplicial Search Method with Reflection and Shrinking Steps for Derivative-Free Optimization
by: Cao, Liyuan, et al.
Published: (2025)

Bregman Linearized Augmented Lagrangian Method for Nonconvex Constrained Stochastic Zeroth-order Optimization
by: Shi, Qiankun, et al.
Published: (2025)

A Scalable Interior-Point Gauss-Newton Method for PDE-Constrained Optimization with Bound Constraints
by: Hartland, Tucker, et al.
Published: (2024)

An Adaptive Parameter-free and Projection-free Restarting Level Set Method for Constrained Convex Optimization Under the Error Bound Condition
by: Lin, Qihang, et al.
Published: (2020)

Gradient-Free Method for Heavily Constrained Nonconvex Optimization
by: Shi, Wanli, et al.
Published: (2024)

An Inexact General Descent Method with Applications in Differential Equation-Constrained Optimization
by: Macedo, Humberto Gimenes, et al.
Published: (2025)

Adaptive Sampling-Based Bi-Fidelity Stochastic Trust Region Method for Derivative-Free Stochastic Optimization
by: Ha, Yunsoo, et al.
Published: (2024)

Constrained Optimization From a Control Perspective via Feedback Linearization
by: Zhang, Runyu, et al.
Published: (2025)