Trust-region quadratic methods for nonlinear systems of mixed equalities and inequalities

Two trust-region methods for systems of mixed nonlinear equalities, general inequalities and simple bounds are proposed. The first method is based on a Gauss–Newton model, the second one is based on a regularized Gauss–Newton model and results to be a Levenberg–Marquardt method. The globalization st...

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Veröffentlicht in:	Applied numerical mathematics Jg. 59; H. 5; S. 859 - 876
Hauptverfasser:	Macconi, Maria, Morini, Benedetta, Porcelli, Margherita
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Kidlington Elsevier B.V 01.05.2009 Elsevier
Schlagworte:	Bound-constrained optimization Calculus of variations and optimal control Error bound Exact sciences and technology Mathematical analysis Mathematics Numerical analysis Numerical analysis. Scientific computation Numerical linear algebra Numerical methods in mathematical programming, optimization and calculus of variations Sciences and techniques of general use Systems of nonlinear equalities and inequalities Trust-region methods Error bound Systems of nonlinear equalities and inequalities Trust-region methods Bound-constrained optimization Error estimation Numerical linear algebra Optimization method Numerical method Non linear system Mixed method Convergence Constrained optimization Numerical analysis Applied mathematics Condition number Mathematical programming
ISSN:	0168-9274, 1873-5460
Online-Zugang:	Volltext
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