Validation of an Augmented Lagrangian Algorithm with a Gauss-Newton Hessian Approximation Using a Set of Hard-Spheres Problems.
Natasa KrejicJosé Mario MartínezMargarida MelloElvio A. PilottaPublished in: Comput. Optim. Appl. (2000)
Keyphrases
- augmented lagrangian
- computational complexity
- learning algorithm
- gauss newton
- search space
- cost function
- np hard
- dynamic programming
- convex hull
- optimization algorithm
- optimization problems
- expectation maximization
- constrained optimization
- linear programming
- simulated annealing
- closed form
- evolutionary algorithm
- constrained optimization problems
- convergence analysis
- objective function
- worst case
- optimization methods
- levenberg marquardt
- image processing
- neural network