Globally convergent decomposition methods for nonconvex optimization problems.
Helmut GfrererPublished in: Computing (1984)
Keyphrases
- decomposition methods
- globally convergent
- optimization problems
- global convergence
- augmented lagrangian
- constrained optimization problems
- optimization methods
- autocalibration
- variational inequalities
- evolutionary algorithm
- decomposition method
- newton method
- line search
- objective function
- constraint satisfaction problems
- database theory
- nonlinear programming
- cost function
- metaheuristic
- optimality conditions
- convergence analysis
- support vector machine
- global optimum
- databases
- differential evolution
- convergence speed
- convex optimization
- search space
- optimal solution
- sensitivity analysis
- linear program
- regularized least squares
- np complete
- image sequences
- knn
- machine learning