1 research outputs found
Local convergence of the Levenberg-Marquardt method under H\"{o}lder metric subregularity
We describe and analyse Levenberg-Marquardt methods for solving systems of
nonlinear equations. More specifically, we propose an adaptive formula for the
Levenberg-Marquardt parameter and analyse the local convergence of the method
under H\"{o}lder metric subregularity of the function defining the equation and
H\"older continuity of its gradient mapping. Further, we analyse the local
convergence of the method under the additional assumption that the
\L{}ojasiewicz gradient inequality holds. We finally report encouraging
numerical results confirming the theoretical findings for the problem of
computing moiety conserved steady states in biochemical reaction networks. This
problem can be cast as finding a solution of a system of nonlinear equations,
where the associated mapping satisfies the \L{}ojasiewicz gradient inequality
assumption.Comment: 30 pages, 10 figure