Mostrando ítems 1-10 de 101
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
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 ...
Augmented lagrangians and sphere packing problems
(Taylor & Francis LtdAbingdonInglaterra, 1998)
Augmented Lagrangian method with nonmonotone penalty parameters for constrained optimization
(SPRINGERNEW YORK, 2012)
At each outer iteration of standard Augmented Lagrangian methods one tries to solve a box-constrained optimization problem with some prescribed tolerance. In the continuous world, using exact arithmetic, this subproblem ...
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 ...
Structured minimal-memory inexact quasi-Newton method and secant preconditioners for augmented Lagrangian optimization
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)
The boundedness of penalty parameters in an augmented Lagrangian method with constrained subproblems
(TAYLOR & FRANCIS LTDABINGDON, 2012)
Augmented Lagrangian methods are effective tools for solving large-scale nonlinear programming problems. At each outer iteration, a minimization subproblem with simple constraints, whose objective function depends on updated ...