A second-order accelerated neurodynamic approach for distributed convex optimization.
Xinrui JiangSitian QinXiaoping XueXinzhi LiuPublished in: Neural Networks (2022)
Keyphrases
- convex optimization
- interior point methods
- low rank
- total variation
- norm minimization
- higher order
- primal dual
- convex programming
- convex optimization problems
- convex constraints
- high order
- convex relaxation
- augmented lagrangian
- operator splitting
- convex formulation
- augmented lagrangian method
- low rank matrix
- optimization problems
- optimal solution
- basis pursuit
- semidefinite program
- multiscale