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Reduced gradient method combined with augmented Lagrangian and barrier for the optimal power flow problem
(ELSEVIER SCIENCE INC, 2008)
A new approach for solving the optimal power flow (OPF) problem is established by combining the reduced gradient method and the augmented Lagrangian method with barriers and exploring specific characteristics of the relations ...
Augmented Lagrangian methods under the constant positive linear dependence constraint qualification
(SPRINGER, 2008)
Two Augmented Lagrangian algorithms for solving KKT systems are introduced. The algorithms differ in the way in which penalty parameters are updated. Possibly infeasible accumulation points are characterized. It is proved ...
On the cost of solving augmented Lagrangian subproblems
(Springer, 2020-07)
At each iteration of the augmented Lagrangian algorithm, a nonlinear subproblem is being solved. The number of inner iterations (of some/any method) needed to obtain a solution of the subproblem, or even a suitable approximate ...
Improving ultimate convergence of an augmented Lagrangian method
(TAYLOR & FRANCIS LTD, 2008)
Optimization methods that employ the classical Powell-Hestenes-Rockafellar augmented Lagrangian are useful tools for solving nonlinear programming problems. Their reputation decreased in the last 10 years due to the ...
Augmented lagrangians and sphere packing problems
(Taylor & Francis LtdAbingdonInglaterra, 1998)
Structured minimal-memory inexact quasi-Newton method and secant preconditioners for augmented Lagrangian optimization
(SPRINGER, 2008)
Augmented Lagrangian methods for large-scale optimization usually require efficient algorithms for minimization with box constraints. On the other hand, active-set box-constraint methods employ unconstrained optimization ...
A relaxed constant positive linear dependence constraint qualification and applications
(SpringerNew York, 2012)
New Optimization Algorithms for Structural Reliability Analysis
(TECH SCIENCE PRESSNORCROSS, 2012)
Solution of structural reliability problems by the First Order method require optimization algorithms to find the smallest distance between a limit state function and the origin of standard Gaussian space. The Hassofer-L ...
BOX-QUACAN and the implementation of Augmented Lagrangian algorithms for minimization with inequality constraints
(Springer HeidelbergHeidelbergAlemanha, 2000)
Validation of an augmented lagrangian algorithm with a Gauss-Newton Hessian approximation using a set of hard-spheres problems
(Kluwer Academic PublDordrechtHolanda, 2000)