Despite that most of power systems can be categorized as well-conditioned, ill-conditioned
cases are becoming more frequent. Consequently, developing new robust LF techniques is …

In this paper, we propose an inexact Newton-like conditional gradient method for solving
constrained systems of nonlinear equations. The local convergence of the new method as …

In this paper, we propose a globally convergent method for solving constrained nonlinear
systems. The method combines an efficient Newton conditional gradient method with a …

In this paper, we study Newton's method for solving the generalized equation F (x)+ T (x)∋ 0
in Hilbert spaces, where F is a Fréchet differentiable function and T is set-valued and …

This paper is concerned with algorithms for solving constrained nonlinear least squares
problems. We first propose a local Gauss–Newton method with approximate projections for …

In this work, we propose and analyze some methods to solve constrained nonlinear systems
of equations. First, we present a method that combines the inexact Newton-like method with …

The principal goal of this thesis is the development and analysis of effcient numerical
methods for large-scale nonlinear parameter estimation problems. These problems are of …

Zusammenfassung Die zentrale Fragestellung dieser Arbeit beschäftigt sich mit den
tektonischen Brekzien der Barcaliente Formation und ihrer Dolomit-und Calcitzemente, die …