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Proximal methods for nonlinear programming: double regularization and inexact subproblems
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 ...
Nonlinear programming algorithms using trust regions and augmented Lagrangians with nonmonotone penalty parameters
(Elsevier Science BvAmsterdamHolanda, 1999)
Eigenvalue optimization-based formulations for nonlinear dynamics and control problems
(Elsevier Science Sa, 2007-11)
Eigenvalues play an important role in many fields of applied mathematics to engineering. For some applications it may be desirable to calculate the variables of a model in order to optimize an objective function and/or to ...
Nonlinear cutting stock problem model to minimize the number of different patterns and objects
(Sociedade Brasileira de Matemática Aplicada e Computacional, 2008)