Varying Infimum Gradient Descent Algorithm for Agent-Sever Systems Using Different Order Iterative Preconditioning Methods.
Jing ChenDongqing WangYanjun LiuQuanmin ZhuPublished in: IEEE Trans. Ind. Informatics (2022)
Keyphrases
- significant improvement
- preprocessing
- computational cost
- iterative methods
- conjugate gradient
- synthetic and real datasets
- dynamic programming
- cost function
- learning algorithm
- search space
- levenberg marquardt
- objective function
- linear programming
- synthetic datasets
- synthetic and real images
- multi agent
- worst case
- linear systems
- iterative algorithms
- simulated annealing
- primal dual
- optimization methods
- back propagation
- segmentation algorithm
- least squares
- multi agent systems
- optimal solution
- feature selection