Local convergence analysis of proximal Gauss-Newton method for penalized nonlinear least squares problems.
Ioannis K. ArgyrosÁngel Alberto MagreñánPublished in: Appl. Math. Comput. (2014)
Keyphrases
- newton method
- convergence analysis
- trust region
- optimality conditions
- global convergence
- variational inequalities
- linear equations
- quadratic programming
- approximation methods
- regularized least squares
- linear svm
- least squares
- nonnegative matrix factorization
- nonlinear programming
- optimization problems
- genetic algorithm
- logistic regression
- optimization algorithm