Regularized Optimization Algorithm
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A Regularized Optimization Algorithm is an optimization algorithm that makes use of a regularization term.
- AKA: Regularized Regression Method.
- Context:
- It can be applied by a Regularized Optimization System (to solve a regularized optimization task).
- Example(s):
- Counter-Example(s):
- See: Regularized Least-Squares Function Fitting Algorithm.
References
2009
- (Goldstein & Osher, 2009) ⇒ Tom Goldstein, and Stanley Osher. (2009). “The Split Bregman Method for L1-regularized Problems.” In: SIAM Journal on Imaging Sciences, 2(2).
- QUOTE: ... The class of L1-regularized optimization problems has received much attention recently because of the introduction of “compressed sensing,” which allows images and signals to be reconstructed from small amounts of data. ...