Levenberg-Marquardt revisited and parameter tuning of river regression models

DOI10.1007/s40314-023-02535-zMaRDI QIDQ6144325

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Publication date: 5 January 2024

Published in: Computational and Applied Mathematics (Search for Journal in Brave)

zbMATH Keywords

Levenberg-Marquardt methodunderdetermined systemsflow predictions in natural rivers

Mathematics Subject Classification ID

Numerical mathematical programming methods (65K05) Mathematical programming (90C99) Numerical methods for mathematical programming, optimization and variational techniques (65K99)

Cites Work

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• Quasi-Newton methods for solving underdetermined nonlinear simultaneous equations
• Solution of nonlinear systems of equations by an optimal projection method
• Solution of underdetermined nonlinear equations by stationary iteration methods
• Algebraic rules for computing the regularization parameter of the Levenberg-Marquardt method
• Least-Change Secant Update Methods for Underdetermined Systems
• An Algorithm for Least-Squares Estimation of Nonlinear Parameters
• Numerical Optimization
• Trust Region Methods
• Optimization Methods for Large-Scale Machine Learning
• Data-Driven Science and Engineering
• A Nonmonotone Line Search Technique for Newton’s Method
• A method for the solution of certain non-linear problems in least squares
• A PDE-informed optimization algorithm for river flow predictions

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