scientific article; zbMATH DE number 1014734

zbMath0882.65053MaRDI QIDQ4338426

Ladislav Lukšan

Publication date: 3 July 1997

Full work available at URL: https://eudml.org/doc/27336

Title: zbMATH Open Web Interface contents unavailable due to conflicting licenses.

zbMATH Keywords

algorithmsnumerical experimentstrust region methodnonlinear least squares problemsGauss-Newton methodconjugate gradient Lanczos strategiesmultiple dog-leg strategy

Mathematics Subject Classification ID

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

Related Items

Hybrid methods for large sparse nonlinear least squares

Uses Software

• minpack
• GQTPAR

Cites Work

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• Approximate solution of the trust region problem by minimization over two-dimensional subspaces
• Hybrid methods for large sparse nonlinear least squares
• Computing a Trust Region Step
• The Conjugate Gradient Method and Trust Regions in Large Scale Optimization
• On the global convergence of trust region algorithms for unconstrained minimization
• A Family of Trust-Region-Based Algorithms for Unconstrained Minimization with Strong Global Convergence Properties
• Variational Methods for Non-Linear Least-Squares
• Hybrid Methods for Nonlinear Least Squares
• An Algorithm for Least-Squares Estimation of Nonlinear Parameters
• Testing Unconstrained Optimization Software
• An Adaptive Nonlinear Least-Squares Algorithm
• Newton-type methods for unconstrained and linearly constrained optimization
• A New Algorithm for Unconstrained Optimization
• A method for the solution of certain non-linear problems in least squares