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What is Parallel Primal-Dual Method With Linearization For Structured Convex Optimization about?
The paper introduces the Parallel Primal-Dual (PPD3) algorithm for solving optimization problems involving the minimization of three convex functions, which operates in a parallel framework to update primal and dual variables simultaneously. This approach alleviates the computational burden associated with evaluating the spectral norm of the linear operator and employs adaptive step sizes to enhance convergence rates. The algorithm demonstrates efficiency in applications such as Fused LASSO and image inpain
- Author
- yanjiang0428
- Language
- EN