A globally convergent augmented-Lagrangian method for constrained nonlinear least-squares with structured SR1 Hessian approximation and direct handling of linear constraints via gradient projection.
A variable dimension sketching strategy for nonlinear least-squares.SIAM Journal on Scientific Computing, 48(3):A1206– A1234, 2026
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An augmented Lagrangian algorithm for constrained nonlinear least-squares
A globally convergent augmented-Lagrangian method for constrained nonlinear least-squares with structured SR1 Hessian approximation and direct handling of linear constraints via gradient projection.