Hierarchical gradient methods for nonlinear LSQ problems

DOI10.1007/BF01061328zbMath0781.65050OpenAlexW2038106742MaRDI QIDQ1260942

M. F. Berger

Publication date: 29 August 1993

Published in: Journal of Scientific Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf01061328

zbMATH Keywords

global convergencedecompositionnonlinear least squares problemshierarchical optimizationgradient algorithm

Mathematics Subject Classification ID

Numerical mathematical programming methods (65K05) Nonlinear programming (90C30)

Cites Work

• Elimination with weighted row combinations for solving linear equations and least squares problems
• Optimal control of linear and nonlinear systems having distributed parameters
• Parameter estimation in large-scale systems using sequential decomposition
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