On the iteratively regularized Gauss-Newton method for solving nonlinear ill-posed problems.
Jin Qi-nianPublished in: Math. Comput. (2000)
Keyphrases
- newton method
- solving nonlinear
- regularized least squares
- augmented lagrangian
- regularization term
- nonlinear equations
- variational inequalities
- sparse representation
- constrained optimization problems
- linear equations
- global convergence
- constrained optimization
- quadratic programming
- total variation
- primal dual
- genetic algorithm
- image denoising
- least squares