Newton-type methods with diagonal update to the Jacobian matrix are regarded as one most efficient and low memory scheme for system of nonlinear equations. One of the main advantages of these methods is solving nonlinear system of equations having singular Fréchet derivative at the root. In this chapter, we present a Jacobian approximation to the Shamanskii method, to obtain a convergent and accelerated scheme for systems of nonlinear equations. Precisely, we will focus on the efficiency of our proposed method and compare the performance with other existing methods. Numerical examples illustrate the efficiency and the theoretical analysis of the proposed methods
AbstractOne of the widely used methods for solving a nonlinear system of equations is the quasi-Newt...
Classical iteration methods for linear systems, such as Jacobi iteration, can be accelerated consid...
We propose some improvements on a diagonal Newton's method for solving large-scale systems of nonlin...
The basic requirement of Newton’s method in solving systems of nonlinear equations is, the Jacobian ...
It is well known that when the Jacobian of nonlinear systems is nonsingular in the neighborhood of t...
We propose a modification to Newton’s method for solving nonlinear equations,namely a Jacobian Compu...
Problem statement: The major weaknesses of Newton method for nonlinear equations entail computation ...
The famous and well known method for solving systems of nonlinear equations is the Newton’s method. ...
[EN] We used a Kurchatov-type accelerator to construct an iterative method with memory for solving n...
AbstractWe consider modifications of Newton's method for solving a nonlinear system F(x) = 0 where F...
We suggested a Broyden's-Like method in which the Jacobian of the system has some special structure...
AbstractIn this paper we introduce an acceleration procedure for a block version of the generalizati...
We present a new diagonal quasi-Newton update with an improved diagonal Jacobian approximation for s...
[EN] A new HSS-based algorithm for solving systems of nonlinear equations is presented and its semil...
The basic requirement of Newtons method in solving systems of nonlinear equations is, the Jacobian m...
AbstractOne of the widely used methods for solving a nonlinear system of equations is the quasi-Newt...
Classical iteration methods for linear systems, such as Jacobi iteration, can be accelerated consid...
We propose some improvements on a diagonal Newton's method for solving large-scale systems of nonlin...
The basic requirement of Newton’s method in solving systems of nonlinear equations is, the Jacobian ...
It is well known that when the Jacobian of nonlinear systems is nonsingular in the neighborhood of t...
We propose a modification to Newton’s method for solving nonlinear equations,namely a Jacobian Compu...
Problem statement: The major weaknesses of Newton method for nonlinear equations entail computation ...
The famous and well known method for solving systems of nonlinear equations is the Newton’s method. ...
[EN] We used a Kurchatov-type accelerator to construct an iterative method with memory for solving n...
AbstractWe consider modifications of Newton's method for solving a nonlinear system F(x) = 0 where F...
We suggested a Broyden's-Like method in which the Jacobian of the system has some special structure...
AbstractIn this paper we introduce an acceleration procedure for a block version of the generalizati...
We present a new diagonal quasi-Newton update with an improved diagonal Jacobian approximation for s...
[EN] A new HSS-based algorithm for solving systems of nonlinear equations is presented and its semil...
The basic requirement of Newtons method in solving systems of nonlinear equations is, the Jacobian m...
AbstractOne of the widely used methods for solving a nonlinear system of equations is the quasi-Newt...
Classical iteration methods for linear systems, such as Jacobi iteration, can be accelerated consid...
We propose some improvements on a diagonal Newton's method for solving large-scale systems of nonlin...