An iterative algorithm for large size least-squares constrained regularization problems.
E. Loli PiccolominiFabiana ZamaPublished in: Appl. Math. Comput. (2011)
Keyphrases
- least squares
- benchmark problems
- optimization algorithm
- computational complexity
- preprocessing
- learning algorithm
- optimal solution
- np complete
- efficient algorithms for solving
- scales linearly
- np hard
- k means
- dynamic programming
- space complexity
- search space
- theoretical guarantees
- iterative algorithms
- levenberg marquardt
- evolutionary algorithm
- image restoration
- cost function
- prior information
- regularization parameter
- linear systems
- energy function
- optimization problems
- solution path
- similarity measure