Improved Primal-Dual Interior-Point Method Using the Lawson-Norm for Inverse Problems.
Wenjing ShangWei XueYingsong LiYidong XuPublished in: IEEE Access (2020)
Keyphrases
- convex optimization
- inverse problems
- primal dual
- interior point methods
- convex functions
- convex programming
- linear programming problems
- interior point algorithm
- semidefinite programming
- linear programming
- convex optimization problems
- global optimization
- linear program
- variational inequalities
- inequality constraints
- approximation algorithms
- low rank
- image processing
- objective function
- convex sets
- total variation
- semidefinite
- optimization problems
- high quality
- image reconstruction
- quadratic programming
- early vision
- worst case
- convergence rate