Neurodynamic algorithms for constrained distributed convex optimization over fixed or switching topology with time-varying communication delay.
Linhua LuanSitian QinPublished in: Neural Comput. Appl. (2022)
Keyphrases
- convex optimization
- convex optimization problems
- interior point
- learning algorithm
- interior point methods
- computational complexity
- optimization problems
- total variation
- feature extraction
- image processing
- wavelet transform
- worst case
- linear programming
- computationally intensive
- convex relaxation
- augmented lagrangian