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Convergence analysis of a subsampled Levenberg-Marquardt algorithm - MaRDI portal

Convergence analysis of a subsampled Levenberg-Marquardt algorithm (Q6047687)

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scientific article; zbMATH DE number 7736822

Language	Label	Description	Also known as
English	Convergence analysis of a subsampled Levenberg-Marquardt algorithm	scientific article; zbMATH DE number 7736822

Statements

scholarly article

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Convergence analysis of a subsampled Levenberg-Marquardt algorithm (English)

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Operations Research Letters

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publication date

12 September 2023

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zbMATH Keywords

nonconvex finite-sum optimization

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subsampled Levenberg-Marquardt algorithm

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global convergence

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MaRDI profile type

MaRDI publication profile

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full work available at URL

https://doi.org/10.1016/j.orl.2023.05.005

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Convergence of Trust-Region Methods Based on Probabilistic Models

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A Levenberg-Marquardt method for large nonlinear least-squares problems with dynamic accuracy in functions and gradients

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An investigation of Newton-Sketch and subsampled Newton methods

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Levenberg--Marquardt Methods Based on Probabilistic Gradient Models and Inexact Subproblem Solution, with Application to Data Assimilation

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Convergence and complexity analysis of a Levenberg-Marquardt algorithm for inverse problems

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A Stochastic Levenberg--Marquardt Method Using Random Models with Complexity Results

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Exact and inexact subsampled Newton methods for optimization

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Optimization Methods for Large-Scale Machine Learning

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Stochastic optimization using a trust-region method and random models

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Convergence properties of a self-adaptive Levenberg-Marquardt algorithm under local error bound condition

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Hybrid Deterministic-Stochastic Methods for Data Fitting

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Mini-batch stochastic approximation methods for nonconvex stochastic composite optimization

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Extended Levenberg-Marquardt Method for Composite Function Minimization

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First-order and stochastic optimization methods for machine learning

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Range-relaxed criteria for choosing the Lagrange multipliers in the Levenberg–Marquardt method

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A method for the solution of certain non-linear problems in least squares

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Globally Convergent Levenberg-Marquardt Method for Phase Retrieval

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An Algorithm for Least-Squares Estimation of Nonlinear Parameters

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A Stochastic Semismooth Newton Method for Nonsmooth Nonconvex Optimization

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Nonlinear least squares — the Levenberg algorithm revisited

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Newton Sketch: A Near Linear-Time Optimization Algorithm with Linear-Quadratic Convergence

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Sub-sampled Newton methods

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Minimizing finite sums with the stochastic average gradient

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Optimization theory and methods. Nonlinear programming

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Newton-type methods for non-convex optimization under inexact Hessian information

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Identifiers

zbMATH Open document ID

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10.1016/j.orl.2023.05.005

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Mathematics Subject Classification ID

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zbMATH DE Number

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Sitelinks

Mathematics(1 entry)

mardi Publication:6047687

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