Copertina

Model-Driven Subspaces for Large-Scale Optimization with Local Approximation Strategy

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	He, Yitong, Xie, Pengcheng
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Optimization and Control Numerical Analysis 90C26, 90C30, 65K05, 49M37
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

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

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

Flexible block-iterative analysis for the Frank-Wolfe algorithm
di: Braun, Gábor, et al.
Pubblicazione: (2024)

Approximate Bregman Proximal Gradient Algorithm for Relatively Smooth Nonconvex Optimization
di: Takahashi, Shota, et al.
Pubblicazione: (2023)

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

Convergence analysis of the transformed gradient projection algorithms on compact matrix manifolds
di: Ding, Wentao, et al.
Pubblicazione: (2024)

On the regularization property of Levenberg-Marquardt method with Singular Scaling for nonlinear inverse problems
di: Filippozzi, Rafaela, et al.
Pubblicazione: (2025)

Convergence analysis of Levenberg-Marquardt method with Singular Scaling for nonzero residue nonlinear least-squares problems
di: Filippozzi, Rafaela, et al.
Pubblicazione: (2024)

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

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

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

A General Recipe for Parameter-Free Nonconvex Optimization via Higher-Order Regularization
di: Marumo, Naoki, et al.
Pubblicazione: (2026)

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

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

On the Convergence of Interior-Point Methods for Bound-Constrained Nonlinear Optimization Problems with Noise
di: Dezfulian, Shima, et al.
Pubblicazione: (2024)

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

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

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

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

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

Non-Convex Self-Concordant Functions: Practical Algorithms and Complexity Analysis
di: Goldfarb, Donald, et al.
Pubblicazione: (2025)

Switching Point Optimization for Abstract Parabolic Equations
di: Buchheim, Christoph, et al.
Pubblicazione: (2026)

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

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

Modified parameter of Dai Liao conjugacy condition of the conjugate gradient method
di: Alhawarat, Ahmad
Pubblicazione: (2023)

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

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

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

Local Convergence Analysis of ADMM for Nonconvex Composite Optimization
di: Xie, Xiyuan, et al.
Pubblicazione: (2026)

A Sequential Homotopy Method for Mathematical Programming Problems
di: Potschka, Andreas, et al.
Pubblicazione: (2019)

Tight Error Bounds for the Sign-Constrained Stiefel Manifold
di: Chen, Xiaojun, et al.
Pubblicazione: (2022)

One-parameter Filled Function Method for Non-convex Multi-objective Optimization Problems
di: Adhikary, Bikram, et al.
Pubblicazione: (2026)

Adaptive Multilevel Newton: A Quadratically Convergent Optimization Method
di: Tsipinakis, Nick, et al.
Pubblicazione: (2025)

Retractions by Alternating Projections
di: Chen, Shixiang, et al.
Pubblicazione: (2026)

First-order majorization-minimization meets high-order majorant: Boosted inexact high-order forward-backward method
di: Kabgani, Alireza, et al.
Pubblicazione: (2025)

A relaxed version of Ryu's three-operator splitting method for structured nonconvex optimization
di: Alcantara, Jan Harold, et al.
Pubblicazione: (2025)

A line search filter sequential adaptive cubic regularisation algorithm for nonlinearly constrained optimization
di: Pei, Yonggang, et al.
Pubblicazione: (2024)

A New Two-dimensional Model-based Subspace Method for Large-scale Unconstrained Derivative-free Optimization: 2D-MoSub
di: Xie, Pengcheng, et al.
Pubblicazione: (2023)

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

Penalty Interior-Point Method Fails to Converge
di: Leyffer, Sven
Pubblicazione: (2003)