Investigation of Preconditioning Techniques for the Iteratively Regularized Gauss--Newton Method for Exponentially Ill-Posed Problems.
Stefan LangerPublished in: SIAM J. Sci. Comput. (2010)
Keyphrases
- newton method
- regularized least squares
- convergence analysis
- sparse representation
- optimality conditions
- variational inequalities
- linear equations
- primal dual
- quadratic programming
- linear svm
- knn
- reproducing kernel hilbert space
- nonnegative matrix factorization
- regularization term
- sensitivity analysis
- image restoration
- least squares