In many optimization problems arising from scientific, engineering and artificial intelligence
applications, objective and constraint functions are available only as the output of a black …

Variable‐gain nonlinearity is a piecewise‐linear characteristic to describe the process with
different gains in different input regions. This article studies the parameter estimation issue …

The limit analysis of dry-masonry block structures with non-associative Coulomb friction is
formulated as a Mixed Complementarity Problem. Using variational arguments, it is proven …

We present a model-based derivative-free method for optimization subject to general convex
constraints, which we assume are unrelaxable and accessed only through a projection …

We address the solution of constrained nonlinear systems by new linesearch quasi-Newton
methods. These methods are based on a proper use of the projection map onto the convex …

This work presents a variant of an inexact projected Levenberg–Marquardt algorithm for
solving constrained nonsmooth equations. More precisely, we propose a local inexact …

In this paper, we propose two complementary variants of the projected Levenberg–
Marquardt (LM) algorithm for solving convex constrained nonlinear equations. Since the …

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 …

Spectral residual methods are derivative-free and low-cost per iteration procedures for
solving nonlinear systems of equations. They are generally coupled with a nonmonotone …

In this paper, we propose a Projected Inexact Quasi-Newton Method (PIQN) to solve
nonlinear systems of equations with nonnegative constraints and we develop its respective …