Incremental Gauss–Newton Methods with Superlinear Convergence Rates

Journal of Optimization Theory and Applications 2026 Open access

Read full text
Authors: Zhiling Zhou, Zhuanghua Liu, Chengchang Liu, Luo Luo
DOI: 10.1007/s10957-026-02990-8
Cited by: 0
References: 67

Fields of Study & Subjects

Advanced Optimization Algorithms Research Iterative Methods for Nonlinear Equations Sparse and Compressive Sensing Techniques

Publication details

Journal / source
Journal of Optimization Theory and Applications
Publisher
Springer Science and Business Media LLC
Volume
209
Issue
3
Publication date
25 May 2026
Language
EN