A Linearly Convergent Dual-Based Gradient Projection Algorithm for Quadratically Constrained Convex Minimization.
Amir BeckMarc TeboullePublished in: Math. Oper. Res. (2006)
Keyphrases
- gradient projection
- convex minimization
- detection algorithm
- preprocessing
- segmentation algorithm
- computational cost
- linear programming
- theoretical analysis
- learning algorithm
- objective function
- optimization algorithm
- experimental evaluation
- improved algorithm
- convergence rate
- matching algorithm
- computational complexity
- expectation maximization
- particle swarm optimization
- cost function
- simulated annealing
- np hard
- dynamic programming
- significant improvement
- k means
- clustering method
- optimization method
- high accuracy
- optimal solution