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A globally and quadratically convergent primal-dual augmented Lagrangian algorithm for equality constrained optimization.
Paul Armand
Riadh Omheni
Published in:
Optim. Methods Softw. (2017)
Keyphrases
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augmented lagrangian
constrained optimization
primal dual
constrained optimization problems
convex optimization
duality gap
linear programming problems
objective function
lagrange multipliers
linear programming
penalty function
convergence rate
interior point methods
total variation
cost function
inequality constraints
image denoising
simulated annealing
augmented lagrangian method
optimization algorithm
dynamic programming
approximation algorithms
regularization term
wavelet transform
linear program
dual formulation