Computational experience with algorithms for separable nonlinear least squares problems

DOI10.1007/BF02575921zbMath0402.65007MaRDI QIDQ1255756

K. Appert

Publication date: 1978

Published in: Calcolo (Search for Journal in Brave)

zbMATH Keywords

Iterative ProcedureFitting FunctionGauss-Newton and Gauss-Newton-Marquardt SchemesNonlinear Least Squares ProblemsVarious Test Problems

Mathematics Subject Classification ID

Numerical smoothing, curve fitting (65D10) Numerical solutions to overdetermined systems, pseudoinverses (65F20) Numerical optimization and variational techniques (65K10)

Cites Work

• Derivative free analogues of the Levenberg-Marquardt and Gauss algorithms for nonlinear least squares approximation
• Algorithms for Separable Nonlinear Least Squares Problems
• A variable projection method for solving separable nonlinear least squares problems
• Some Special Nonlinear Least Squares Problems
• Efficient implementation of a variable projection algorithm for nonlinear least squares problems
• An Algorithm for Least Squares Estimation of Nonlinear Parameters When Some of the Parameters Are Linear
• Modified Damped Least Squares: An Algorithm for Non-linear Estimation
• The Differentiation of Pseudo-Inverses and Nonlinear Least Squares Problems Whose Variables Separate

This page was built for publication: Computational experience with algorithms for separable nonlinear least squares problems