Convergence of a Regularized Euclidean Residual Algorithm for Nonlinear Least-Squares.
Stefania BellaviaCoralia CartisNicholas I. M. GouldBenedetta MoriniPhilippe L. TointPublished in: SIAM J. Numer. Anal. (2010)
Keyphrases
- convergence rate
- np hard
- dynamic programming
- levenberg marquardt
- learning algorithm
- optimal solution
- artificial neural networks
- search space
- cost function
- matching algorithm
- expectation maximization
- nonlinear least squares
- faster convergence
- optimization algorithm
- linear programming
- objective function
- least squares
- computer vision
- global convergence
- trust region
- neural network