A two-step superlinearly convergent projected structured BFGS method for constrained nonlinear least squares
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Publication:2841158
DOI10.1080/02331934.2012.686110zbMath1273.90240OpenAlexW2075529273MaRDI QIDQ2841158
Narges Bidabadi, Nezam Mahdavi-Amiri
Publication date: 24 July 2013
Published in: Optimization (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/02331934.2012.686110
exact penalty methodsprojected Hessian updatesconstrained non-linear least squaresstructured secant methods
Related Items (3)
A robust combined trust region–line search exact penalty projected structured scheme for constrained nonlinear least squares ⋮ Using a spectral scaling structured BFGS method for constrained nonlinear least squares ⋮ Superlinearly convergent exact penalty methods with projected structured secant updates for constrained nonlinear least squares
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Cites Work
- Augmented penalty algorithms based on BFGS secant approximations and trust regions
- Convergence theory for the structured BFGS secant method with an application to nonlinear least squares
- Solving the nonlinear least square problem: Application of a general method
- Quadratic and superlinear convergence of the Huschens method for nonlinear least squares problems
- A structured secant method based on a new quasi-Newton equation for nonlinear least squares problems
- Local convergence analysis for partitioned quasi-Newton updates
- Adaptive algorithm for constrained least-squares problems
- Superlinearly convergent exact penalty projected structured hessian updating schemes for constrained nonlinear least squares: asymptotic analysis
- A primal-dual interior-point algorithm for nonlinear least squares constrained problems
- Operations research and optimization (ORO)
- Convergence Theorems for Least-Change Secant Update Methods
- Projected Hessian Updating Algorithms for Nonlinearly Constrained Optimization
- On Generating Test Problems for Nonlinear Programming Algorithms
- Hybrid Methods for Nonlinear Least Squares
- Second-order conditions for an exact penalty function
- An Adaptive Nonlinear Least-Squares Algorithm
- Nonlinear programming via an exact penalty function: Global analysis
- Nonlinear programming via an exact penalty function: Asymptotic analysis
- The estimation of the hessian matrix in nonlinear least squares problems with non-zero residuals
- Constrained nonlinear least squares: an exact penalty approach with projected structured quasi-Newton updates
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