The Matlab implementation of a trust-region Gauss-Newton method for bound-constrained nonlinear least-squares problems is presented. The solver, called TRESNEI, is adequate for zero and small-residual problems and handles the solution of nonlinear systems of equalities and inequalities. The structure and the usage of the solver are described and an extensive numerical comparison with functions from the Matlab Optimization Toolbox is carried out.

TRESNEI, a Matlab trust-region solver for systems of nonlinear equalities and inequalities / B.Morini; M.Porcelli. - In: COMPUTATIONAL OPTIMIZATION AND APPLICATIONS. - ISSN 0926-6003. - STAMPA. - 51:(2012), pp. 27-49. [10.1007/s10589-010-9327-5]

TRESNEI, a Matlab trust-region solver for systems of nonlinear equalities and inequalities

MORINI, BENEDETTA;PORCELLI, MARGHERITA
2012

Abstract

The Matlab implementation of a trust-region Gauss-Newton method for bound-constrained nonlinear least-squares problems is presented. The solver, called TRESNEI, is adequate for zero and small-residual problems and handles the solution of nonlinear systems of equalities and inequalities. The structure and the usage of the solver are described and an extensive numerical comparison with functions from the Matlab Optimization Toolbox is carried out.
2012
51
27
49
B.Morini; M.Porcelli
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/386713
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