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ON AUGMENTED LAGRANGIAN METHODS WITH GENERAL LOWER-LEVEL CONSTRAINTS
(Siam PublicationsPhiladelphiaEUA, 2007)
Analysis of semicoercive contact problems using symmetric BEM and augmented Lagrangians
(Elsevier Sci LtdOxfordInglaterra, 1996)
Nonlinear programming algorithms using trust regions and augmented Lagrangians with nonmonotone penalty parameters
(Elsevier Science BvAmsterdamHolanda, 1999)
A regularization method based on level sets and augmented Lagrangian for parameter identification problems with piecewise constant solutions
(IOP Publishing, 2018-10-01)
We propose and analyse a regularization method for parameter identification problems modeled by ill-posed nonlinear operator equations, where the parameter to be identified is a piecewise constant function taking known ...
Augmented Lagrangian algorithms based on the spectral projected gradient method for solving nonlinear programming problems
(Kluwer Academic/plenum PublNew YorkEUA, 2004)
Numerical comparison of Augmented Lagrangian algorithms for nonconvex problems
(SpringerDordrechtHolanda, 2005)
Augmented Lagrangian method with nonmonotone penalty parameters for constrained optimization
(SpringerNew York, 2012)
Proximal methods for nonlinear programming: double regularization and inexact subproblems
(SPRINGER, 2010)
This paper describes the first phase of a project attempting to construct an efficient general-purpose nonlinear optimizer using an augmented Lagrangian outer loop with a relative error criterion, and an inner loop employing ...
Meso-scale fracture simulation using an augmented Lagrangian approach
(Sage Publications Ltd, 2016-08)
A cohesive zone model implemented in an augmented Lagrangian functional is used for simulation of meso-scale fracture problems in this paper. The method originally developed by Lorentz is first presented in a rigorous ...
Global minimization using an Augmented Lagrangian method with variable lower-level constraints
(SPRINGER, 2010)
A novel global optimization method based on an Augmented Lagrangian framework is introduced for continuous constrained nonlinear optimization problems. At each outer iteration k the method requires the epsilon(k)-global ...