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Matthews´ theorem in effective Yang-Mills theories
(Revista Mexicana de Física, 2009)
Validation of an augmented lagrangian algorithm with a Gauss-Newton Hessian approximation using a set of hard-spheres problems
(Kluwer Academic PublDordrechtHolanda, 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 ...
Implicit Euler Time-Discretization of a Class of Lagrangian Systems with Set-Valued Robust Controller
(Heldermann Verlag, 2016)
A class of Lagrangian continuous dynamical systems with set-valued controller and subjected to a perturbation force has been thoroughly studied in [3]. In this paper, we study the time discretization of these set-valued ...
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 ...
Numerical comparison of Augmented Lagrangian algorithms for nonconvex problems
(SpringerDordrechtHolanda, 2005)
Solution of a functional equation related to the Pythagorean Proposition
(Asociación Matemática Venezolana, 2016-01)
La ecuación funcional f(x + y) = f(x) + f(y) + 2f(Φ(x, y)), x, y > 0, es resuelta para pares (f, Φ) constituidos por una función estrictamente monótona y un Lagrangiano suficientemente regular Φ. Algunas preguntas formuladas ...
Lagrangian penalization scheme with parallel forward-backward splitting
(2018)
We propose a new iterative algorithm for the numerical approximation of the solutions to convex optimization problems and constrained variational inequalities, especially when the functions and operators involved have a ...
Analysis of numeric conditioning of Hessian matrix of Lagrangian via singular values
(2007-12-01)
This paper presents an analyze of numeric conditioning of the Hessian matrix of Lagrangian of modified barrier function Lagrangian method (MBFL) and primal-dual logarithmic barrier method (PDLB), which are obtained in the ...