A primal dual fixed point algorithm for constrained optimization problems with applications to image reconstruction.

Published in: Medical Imaging: Image Processing (2015)

Keyphrases

image reconstruction
primal dual
fixed point
constrained optimization problems
linear programming
dynamic programming
approximation algorithms
augmented lagrangian

optimization algorithm
penalty function
convex optimization
convergence rate
constrained optimization
simulated annealing
cost function
optimal solution

objective function
algorithm for linear programming
linear programming problems
step size
linear program
hybrid algorithm
knapsack problem

genetic algorithm
particle swarm optimization
graphical models
worst case
evolutionary algorithm
search space
reinforcement learning