Capítulo del libro "Contemporary study of iterative methods: convergence, dynamics and applications"The goal in this chapter is to present a finer convergence analysis of Gauss–Newton method than in earlier works in order to expand the solvability of convex composite optimizations problems. The convergence of Gauss–Newton method is based on the majorant and center-majorant functions
We provide an overview of a class of iterative convex approximation methods for nonlinear optimizati...
Convex optimization has an increasing impact on many areas of mathematics, applied sciences, and pra...
AbstractQuasi-Gauss-Newton methods for nonlinear equations are investigated. A Quasi-Gauss-Newton me...
Capítulo del libro "Contemporary study of iterative methods: convergence, dynamics and applications"...
Capítulo del libro "Iterative Methods and Their Dynamics with Applications"n this chapter we are co...
Capítulo del libro "Iterative Methods and Their Dynamics with Applications"In this chapter we will ...
AbstractUsing the convex process theory we study the convergence issues of the iterative sequences g...
Thesis (Ph.D.)--University of Washington, 2018Convex-composite optimization seeks to minimize f(x):=...
International audienceThis works aims at understanding further convergence properties of first order...
This work presents a novel version of recently developed Gauss--Newton method for solving systems of...
We seek to solve convex optimization problems in composite form: minimize x∈Rn f(x): = g(x) + h(x), ...
In the recent years, we can see that the interest for new optimization methods keeps growing. The mo...
This paper proposes two proximal Newton methods for convex nonsmooth optimization problems in compos...
This paper proposes two proximal Newton methods for convex nonsmooth optimization problems in compos...
A fast parallelable Jacobi iteration type optimization method for non-smooth convex composite optimi...
We provide an overview of a class of iterative convex approximation methods for nonlinear optimizati...
Convex optimization has an increasing impact on many areas of mathematics, applied sciences, and pra...
AbstractQuasi-Gauss-Newton methods for nonlinear equations are investigated. A Quasi-Gauss-Newton me...
Capítulo del libro "Contemporary study of iterative methods: convergence, dynamics and applications"...
Capítulo del libro "Iterative Methods and Their Dynamics with Applications"n this chapter we are co...
Capítulo del libro "Iterative Methods and Their Dynamics with Applications"In this chapter we will ...
AbstractUsing the convex process theory we study the convergence issues of the iterative sequences g...
Thesis (Ph.D.)--University of Washington, 2018Convex-composite optimization seeks to minimize f(x):=...
International audienceThis works aims at understanding further convergence properties of first order...
This work presents a novel version of recently developed Gauss--Newton method for solving systems of...
We seek to solve convex optimization problems in composite form: minimize x∈Rn f(x): = g(x) + h(x), ...
In the recent years, we can see that the interest for new optimization methods keeps growing. The mo...
This paper proposes two proximal Newton methods for convex nonsmooth optimization problems in compos...
This paper proposes two proximal Newton methods for convex nonsmooth optimization problems in compos...
A fast parallelable Jacobi iteration type optimization method for non-smooth convex composite optimi...
We provide an overview of a class of iterative convex approximation methods for nonlinear optimizati...
Convex optimization has an increasing impact on many areas of mathematics, applied sciences, and pra...
AbstractQuasi-Gauss-Newton methods for nonlinear equations are investigated. A Quasi-Gauss-Newton me...