Copertina

Variable Projection Algorithms: Theoretical Insights and A Novel Approach for Problems with Large Residual

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Chen, Guangyong, Xue, Peng, Gan, Min, Chen, Jing, Guo, Wenzhong, Chen, C. L. Philip.
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Optimization and Control
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Projection-Free Algorithms for Minimax Problems
di: Giang-Tran, Khanh-Hung, et al.
Pubblicazione: (2026)

An Inexact Variable Metric Proximal Gradient-subgradient Algorithm for a Class of Fractional Optimization Problems
di: Yang, Lei, et al.
Pubblicazione: (2025)

A Composed Alternating Relaxed Projection Algorithm for Feasibility Problem
di: Shen, Yuting, et al.
Pubblicazione: (2025)

An Efficient Algorithm for Computational Protein Design Problem
di: Zheng, Yukai, et al.
Pubblicazione: (2023)

Kernel Variational Inference Flow for Nonlinear Filtering Problem
di: Gan, Weiye, et al.
Pubblicazione: (2025)

Residuals-Based Contextual Distributionally Robust Optimization with Decision-Dependent Uncertainty: Theoretical Guarantees and Decomposition Algorithm
di: Zhu, Qing, et al.
Pubblicazione: (2024)

Functionally Constrained Algorithm Solves Convex Simple Bilevel Problems
di: Zhang, Huaqing, et al.
Pubblicazione: (2024)

Whale Optimization Algorithms based fractional order fuzzy PID controller for Depth of Anesthesia
di: Behboudifar, Amin, et al.
Pubblicazione: (2025)

One-Point Residual Feedback Algorithms for Distributed Online Convex and Non-convex Optimization
di: Wang, Yaowen, et al.
Pubblicazione: (2025)

The Generalized Matrix Separation Problem: Algorithms
di: Chen, Xuemei, et al.
Pubblicazione: (2025)

Hybrid Reinforcement Learning Framework for Mixed-Variable Problems
di: Zhai, Haoyan, et al.
Pubblicazione: (2024)

A Homogeneous Second-Order Descent Ascent Algorithm for Nonconvex-Strongly Concave Minimax Problems
di: Chen, Jia-Hao, et al.
Pubblicazione: (2026)

A Max-Min-Max Algorithm for Large-Scale Robust Optimization
di: Tu, Kai, et al.
Pubblicazione: (2024)

Single-loop Projection-free and Projected Gradient-based Algorithms for Nonconvex-concave Saddle Point Problems with Bilevel Structure
di: Ahmadi, Mohammad Mahdi, et al.
Pubblicazione: (2024)

A Theoretical and Experimental Study of a Novel Adaptive Learning Algorithm
di: Kumari, Sakshi, et al.
Pubblicazione: (2026)

Inexact Projected Preconditioned Gradient Methods with Variable Metrics: General Convergence Theory via Lyapunov Approach
di: Guo, Ruchi, et al.
Pubblicazione: (2025)

Reliable Solution to Dynamic Optimization Problems using Integrated Residual Regularized Direct Collocation
di: Nie, Yuanbo, et al.
Pubblicazione: (2025)

Adversarial Reinforcement Learning: A Duality-Based Approach To Solving Optimal Control Problems
di: Chen, Nan, et al.
Pubblicazione: (2025)

A Unified Approach for Computing Wasserstein Barycenters of Discrete and Continuous Measures
di: Xu, Peng, et al.
Pubblicazione: (2026)

AdaSwitch: An Adaptive Switching Meta-Algorithm for Learning-Augmented Bounded-Influence Problems
di: Chen, Xi, et al.
Pubblicazione: (2025)

Generalized Bregman Projection Algorithms for Solving Nonlinear Split Feasibility Problems in Infinite-Dimensional Spaces
di: Sababe, Saeed Hashemi, et al.
Pubblicazione: (2025)

A Scenario Approach to the Robustness of Nonconvex-Nonconcave Minimax Problems
di: Peng, Huan, et al.
Pubblicazione: (2025)

Learning-Augmented Algorithms for the Bahncard Problem
di: Zhao, Hailiang, et al.
Pubblicazione: (2024)

A Support-Set Algorithm for Optimization Problems with Nonnegative and Orthogonal Constraints
di: Wang, Lei, et al.
Pubblicazione: (2025)

S-D-RSM: Stochastic Distributed Regularized Splitting Method for Large-Scale Convex Optimization Problems
di: Wang, Maoran, et al.
Pubblicazione: (2025)

Variable Smoothing Alternating Proximal Gradient Algorithm for Coupled Composite Optimization
di: Long, Xian-Jun, et al.
Pubblicazione: (2025)

Complexity of Projected Gradient Methods for Strongly Convex Optimization with Hölder Continuous Gradient Terms
di: Chen, Xiaojun, et al.
Pubblicazione: (2026)

Robust Optimization Approach for Solving Uncertain Multiobjective Optimization Problems Using the Projected Gradient Method
di: Kumar, Shubham, et al.
Pubblicazione: (2025)

A Metaheuristic Algorithm for Large Maximum Weight Independent Set Problems
di: Dong, Yuanyuan, et al.
Pubblicazione: (2022)

Exploring the Performance of Genetic Algorithm and Variable Neighborhood Search for Solving the Single Depot Multiple Set Orienteering Problem: A Comparative Study
di: Kant, Ravi, et al.
Pubblicazione: (2024)

A Control Theoretical Approach to Online Constrained Optimization
di: Casti, Umberto, et al.
Pubblicazione: (2023)

Bounds for the Permutation Flowshop Scheduling Problem: New Framework and Theoretical Insights
di: Alejandro-Soto, J. A., et al.
Pubblicazione: (2025)

An Optimal Algorithm for the Stacker Crane Problem on Fixed Topologies
di: Chen, Yike, et al.
Pubblicazione: (2024)

Tensor Based Proximal Alternating Minimization Method for A Kind of Inhomogeneous Quartic Optimization Problem
di: Chen, Haibin, et al.
Pubblicazione: (2025)

Stochastic Optimization Algorithms for Instrumental Variable Regression with Streaming Data
di: Chen, Xuxing, et al.
Pubblicazione: (2024)

A Novel Co-Evolutionary Algorithm for Solving a Bilevel Pricing and Hubs Location Problem under a Tree Topology
di: Blanco, Víctor, et al.
Pubblicazione: (2025)

Accelerated Gradient Methods Through Variable and Operator Splitting
di: Chen, Long, et al.
Pubblicazione: (2025)

Generalized Composed Alternating Relaxed Projection Algorithm for Two-Set Feasibility Problem
di: Li, Xinxin, et al.
Pubblicazione: (2026)

Derivative-free Alternating Projection Algorithms for General Nonconvex-Concave Minimax Problems
di: Xu, Zi, et al.
Pubblicazione: (2021)

Grassmannian Geometry and Global Convergence of Variable Projection for Neural Networks
di: Dus, Mathias
Pubblicazione: (2026)