A globally convergent discrete Newton method is proposed for solving large-scale nonlinear systems of equations. Advantage is taken from discretization steps so that the residual norm can be reduced while the Jacobian is approximated, besides the reduction at Newtonian iterations. The Curtis-Powell-Reid (CPR) scheme for discretization is used for dealing with sparse Jacobians. Global convergence is proved and numerical experiments are presented.524176341744
AbstractPractical quasi-Newton methods for solving nonlinear systems are surveyed. The definition of...
A new method for solving large nonlinear optimization problems is outlined. It attempts to combine t...
We develop a globally convergent algorithm based on the LP-Newton method, which has been recently pr...
A nonlinear system of equations is said to be reducible if it can be divided into m blocks (m>1) in ...
In this paper we present a Quasi-Newton type method, which applies to large and sparse nonlinear sys...
AbstractOne of the widely used methods for solving a nonlinear system of equations is the quasi-Newt...
A nonlinear system of equations is said to be reducible if it can be divided into m blocks (m > 1) i...
The famous and well known method for solving systems of nonlinear equations is the Newton’s method. ...
Large-scale systems of nonlinear equations appear in many applications. In various applications, the...
Large-scale systems of nonlinear equations appear in many applications. In various applications, the...
One of the widely used methods for solving a nonlinear system of equations is the quasi-Newton metho...
We consider the solution of several nonlinear systems that come from the discretization of two-dimen...
In inexact Newton methods for solving nonlinear systems of equations, an approximation to the step s...
We propose some improvements on a diagonal Newton's method for solving large-scale systems of nonlin...
A nonlinear system of equations is said to be reducible if it can be divided into m blocks (m> 1)...
AbstractPractical quasi-Newton methods for solving nonlinear systems are surveyed. The definition of...
A new method for solving large nonlinear optimization problems is outlined. It attempts to combine t...
We develop a globally convergent algorithm based on the LP-Newton method, which has been recently pr...
A nonlinear system of equations is said to be reducible if it can be divided into m blocks (m>1) in ...
In this paper we present a Quasi-Newton type method, which applies to large and sparse nonlinear sys...
AbstractOne of the widely used methods for solving a nonlinear system of equations is the quasi-Newt...
A nonlinear system of equations is said to be reducible if it can be divided into m blocks (m > 1) i...
The famous and well known method for solving systems of nonlinear equations is the Newton’s method. ...
Large-scale systems of nonlinear equations appear in many applications. In various applications, the...
Large-scale systems of nonlinear equations appear in many applications. In various applications, the...
One of the widely used methods for solving a nonlinear system of equations is the quasi-Newton metho...
We consider the solution of several nonlinear systems that come from the discretization of two-dimen...
In inexact Newton methods for solving nonlinear systems of equations, an approximation to the step s...
We propose some improvements on a diagonal Newton's method for solving large-scale systems of nonlin...
A nonlinear system of equations is said to be reducible if it can be divided into m blocks (m> 1)...
AbstractPractical quasi-Newton methods for solving nonlinear systems are surveyed. The definition of...
A new method for solving large nonlinear optimization problems is outlined. It attempts to combine t...
We develop a globally convergent algorithm based on the LP-Newton method, which has been recently pr...