Pages that link to "Item:Q5249731"

The following pages link to Strong local convergence properties of adaptive regularized methods for nonlinear least squares (Q5249731):

Displaying 15 items.

• On an adaptive regularization for ill-posed nonlinear systems and its trust-region implementation (Q276850) (← links)
• Local analysis of a spectral correction for the Gauss-Newton model applied to quadratic residual problems (Q329315) (← links)
• A globally convergent method for nonlinear least-squares problems based on the Gauss-Newton model with spectral correction (Q1653953) (← links)
• New subspace minimization conjugate gradient methods based on regularization model for unconstrained optimization (Q2041515) (← links)
• Several accelerated subspace minimization conjugate gradient methods based on regularization model and convergence rate analysis for nonconvex problems (Q2098802) (← links)
• A regularization method for constrained nonlinear least squares (Q2191800) (← links)
• Local convergence of the Levenberg-Marquardt method under Hölder metric subregularity (Q2305550) (← links)
• On global minimizers of quadratic functions with cubic regularization (Q2329649) (← links)
• An interior affine scaling cubic regularization algorithm for derivative-free optimization subject to bound constraints (Q2357423) (← links)
• Convergence and evaluation-complexity analysis of a regularized tensor-Newton method for solving nonlinear least-squares problems (Q2419539) (← links)
• On the use of iterative methods in cubic regularization for unconstrained optimization (Q2515064) (← links)
• Majorization-minimization-based Levenberg-Marquardt method for constrained nonlinear least squares (Q2696927) (← links)
• On the Quadratic Convergence of the Cubic Regularization Method under a Local Error Bound Condition (Q4634142) (← links)
• Finding zeros of Hölder metrically subregular mappings via globally convergent Levenberg–Marquardt methods (Q5038173) (← links)
• Newton-Anderson at Singular Points (Q6143274) (← links)