A Refined Convergence Condition for Iterative Waterfilling Algorithm.
Mingjun DaiShengli ZhangBin ChenXiaohui LinHui WangPublished in: IEEE Commun. Lett. (2014)
Keyphrases
- learning algorithm
- clustering method
- improved algorithm
- convergence rate
- computational cost
- iterative algorithms
- matching algorithm
- experimental evaluation
- stochastic approximation
- data sets
- times faster
- detection algorithm
- high accuracy
- dynamic programming
- optimal solution
- search space
- convergence analysis
- faster convergence
- significant improvement
- particle swarm optimization
- segmentation algorithm
- lower bound
- preprocessing
- computational complexity
- decision trees
- similarity measure
- objective function
- optimization algorithm
- input data
- linear programming
- worst case
- probabilistic model
- cost function