Delayed Weighted Gradient Method with simultaneous step-sizes for strongly convex optimization.
Hugo LaraRafael AleixoHarry OviedoPublished in: Comput. Optim. Appl. (2024)
Keyphrases
- gradient method
- step size
- convex optimization
- convergence rate
- convex formulation
- convergence speed
- cost function
- interior point methods
- primal dual
- total variation
- faster convergence
- convex relaxation
- feature extraction
- image denoising
- linear programming
- wavelet coefficients
- wavelet transform
- evolutionary algorithm
- multiscale