A structured secant method based on a new quasi-Newton equation for nonlinear least squares problems

DOI10.1023/A:1023665409152zbMath1022.65070OpenAlexW1527235468MaRDI QIDQ1397992

D. Massart

Publication date: 6 August 2003

Published in: BIT (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1023/a:1023665409152

zbMATH Keywords

algorithmnumerical experimentsquadratic convergencesuperlinear convergencequasi-Newton equationnonlinear least squaresstructured secant method

Mathematics Subject Classification ID

Numerical mathematical programming methods (65K05) Quadratic programming (90C20) Methods of quasi-Newton type (90C53)

Related Items (5)

Eigenvalue analyses on the memoryless Davidon-Fletcher-Powell method based on a spectral secant equation ⋮ A modified scaled memoryless BFGS preconditioned conjugate gradient method for unconstrained optimization ⋮ Superlinearly convergent exact penalty methods with projected structured secant updates for constrained nonlinear least squares ⋮ A brief survey of methods for solving nonlinear least-squares problems ⋮ A two-step superlinearly convergent projected structured BFGS method for constrained nonlinear least squares

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