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A mortar method combined with an augmented Lagrangian approach for treatment of mechanical contact problems
(Springer, 2014)
This work presents a mixed penalty-duality formulation from an augmented Lagrangian approach for treating the contact inequality constraints. The augmented Lagrangian approach allows to regularize the non differentiable ...
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 ...
An augmented Lagrangian technique combined with a mortar algorithm for modelling mechanical contact problems
(Wiley, 2013-01)
A finite element formulation for three dimensional (3D) contact mechanics using a mortar algorithm combined with a mixed penalty-duality formulation from an augmented Lagrangian approach is presented. In this method, no ...
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 ...
Numerical solutions for frictional contact problems based on a mortar algorithm with an augmented Lagrangian technique
(Springer, 2015-12)
This work presents a frictional contact formulation to solve three-dimensional contact problems with large finite displacements. The kinematic description of the contacting bodies is defined by using a mortar approach. The ...
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 ...
The boundedness of penalty parameters in an augmented Lagrangian method with constrained subproblems
(Taylor & Francis Ltd, 2012-12)
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 ...
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 ...
Coevolutionary Genetic Algorithm Based on the Augmented Lagrangian Function for Solving the Economic Dispatch Problem
(2015-10-01)
This paper proposes a coevolutionary augmented Lagrangian method (AGCE) for solving the classic economic dispatch problem. This problem becomes non-convex and non-differentiable if valve-point loadings effects are considered ...
Nonlinear programming algorithms using trust regions and augmented Lagrangians with nonmonotone penalty parameters
(Elsevier Science BvAmsterdamHolanda, 1999)