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- research-articleJune 2024
The Levenberg–Marquardt method: an overview of modern convergence theories and more
Computational Optimization and Applications (COOP), Volume 89, Issue 1Pages 33–67https://doi.org/10.1007/s10589-024-00589-1AbstractThe Levenberg–Marquardt method is a fundamental regularization technique for the Newton method applied to nonlinear equations, possibly constrained, and possibly with singular or even nonisolated solutions. We review the literature on the subject, ...
- research-articleNovember 2021
Newton-type methods near critical solutions of piecewise smooth nonlinear equations
Computational Optimization and Applications (COOP), Volume 80, Issue 2Pages 587–615https://doi.org/10.1007/s10589-021-00306-2AbstractIt is well-recognized that in the presence of singular (and in particular nonisolated) solutions of unconstrained or constrained smooth nonlinear equations, the existence of critical solutions has a crucial impact on the behavior of various Newton-...
- research-articleJanuary 2019
Local Attractors of Newton-Type Methods for Constrained Equations and Complementarity Problems with Nonisolated Solutions
Journal of Optimization Theory and Applications (JOPT), Volume 180, Issue 1Pages 140–169https://doi.org/10.1007/s10957-018-1297-2AbstractFor constrained equations with nonisolated solutions, we show that if the equation mapping is 2-regular at a given solution with respect to a direction in the null space of the Jacobian, and this direction is interior feasible, then there is an ...
- articleMarch 2018
A globally convergent LP-Newton method for piecewise smooth constrained equations: escaping nonstationary accumulation points
Computational Optimization and Applications (COOP), Volume 69, Issue 2Pages 325–349https://doi.org/10.1007/s10589-017-9950-5The LP-Newton method for constrained equations, introduced some years ago, has powerful properties of local superlinear convergence, covering both possibly nonisolated solutions and possibly nonsmooth equation mappings. A related globally convergent ...
- articleOctober 2014
A Levenberg-Marquardt method with approximate projections
Computational Optimization and Applications (COOP), Volume 59, Issue 1-2Pages 5–26https://doi.org/10.1007/s10589-013-9573-4The projected Levenberg-Marquardt method for the solution of a system of equations with convex constraints is known to converge locally quadratically to a possibly nonisolated solution if a certain error bound condition holds. This condition turns out ...
- articleJuly 2012
Stationarity Conditions and Their Reformulations for Mathematical Programs with Vertical Complementarity Constraints
Journal of Optimization Theory and Applications (JOPT), Volume 154, Issue 1Pages 54–70https://doi.org/10.1007/s10957-012-9992-xWe consider the mathematical program with vertical complementarity constraints. We show that the min-max-min problems and the problems with max-min constraints can be reformulated as the above problem. As a complement of the work of Scheel and Scholtes ...
- articleJune 2010
The singular dynamic method for constrained second order hyperbolic equations: Application to dynamic contact problems
Journal of Computational and Applied Mathematics (JCAM), Volume 234, Issue 3Pages 906–923https://doi.org/10.1016/j.cam.2010.01.058The purpose of this paper is to present a new family of numerical methods for the approximation of second order hyperbolic partial differential equations submitted to a convex constraint on the solution. The main application is dynamic contact problems. ...