On diagonally structured scheme for nonlinear least squares and data-fitting problems

DOI10.1051/RO/2024102MaRDI QIDQ6658417

Mahmoud Muhammad Yahaya, Poom Kumam, Parin Chaipunya, Lin Wang, Aliyu Muhammed Awwal

Publication date: 8 January 2025

Published in: RAIRO. Operations Research (Search for Journal in Brave)

zbMATH Keywords

data fittingconvergence ratenonlinear least squaressecant conditiondiagonal update

Mathematics Subject Classification ID

Numerical smoothing, curve fitting (65D10) Methods of quasi-Newton type (90C53) Least squares and related methods for stochastic control systems (93E24)

Cites Work

• Title not available (Why is that?)
• Local analysis of a spectral correction for the Gauss-Newton model applied to quadratic residual problems
• A literature survey of benchmark functions for global optimisation problems
• Nonlinear conjugate gradient methods with structured secant condition for nonlinear least squares problems
• A structured diagonal Hessian approximation method with evaluation complexity analysis for nonlinear least squares
• A structured quasi-Newton algorithm with nonmonotone search strategy for structured NLS problems and its application in robotic motion control
• A brief survey of methods for solving nonlinear least-squares problems
• Scaled nonlinear conjugate gradient methods for nonlinear least squares problems
• The Barzilai and Borwein Gradient Method for the Large Scale Unconstrained Minimization Problem
• Testing Unconstrained Optimization Software
• On the Use of Product Structure in Secant Methods for Nonlinear Least Squares Problems

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