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Nonlinear programming algorithms using trust regions and augmented Lagrangians with nonmonotone penalty parameters
(Elsevier Science BvAmsterdamHolanda, 1999)
Nonlinear cutting stock problem model to minimize the number of different patterns and objects
(Sociedade Brasileira de Matemática Aplicada e Computacional, 2008)
Packing Ellipsoids By Nonlinear Optimization
(SPRINGERDORDRECHT, 2016)
Solution of bounded nonlinear systems of equations using homotopies with inexact restoration
(Taylor & Francis LtdAbingdonInglaterra, 2003)
An inexact restoration derivative-free filter method for nonlinear programming
(Sociedade Brasileira de Matemática Aplicada e Computacional, 2017-03)
An inexact restoration derivative-free filter method for nonlinear programming is introduced in this paper. Each iteration is composed of a restoration phase, which reduces a measure of infeasibility, and an optimization ...
Modeling issues and implementation of language for disjunctive programming
(Pergamon-Elsevier Science Ltd, 2000-10)
This paper describes a number of key modeling issues for the development of tools for solving nonlinear discrete/continuous problems where logic/disjunctive constraints are included in the formulation. A generalized hybrid ...
Design and analysis of an efficient neural network model for solving nonlinear optimization problems
(Taylor & Francis Ltd, 2005-10-20)
This paper presents an efficient approach based on a recurrent neural network for solving constrained nonlinear optimization. More specifically, a modified Hopfield network is developed, and its internal parameters are ...