Abstract. The classical Newton–Kantorovich method for solving systems of equations f(x) = 0 uses the inverse of the Jacobian of f at each iteration. If the number of equations is different than the number of variables, or if the Jacobian cannot be assumed nonsingular, a generalized inverse of the Jacobian can be used in a Newton method whose limit points are stationary points of ‖f(x)‖2. We study conditions for local convergence of this method, prove quadratic convergence, and implement an adaptive version this iterative method, allowing a controlled increase of the rank
We construct a novel multi-step iterative method for solving systems of nonlinear equations by intro...
We define and analyse partial Newton iterations for the solutions of a system of algebraic equations...
Abstract. Directional Newton methods for functions f of n variables are shown to converge, under sta...
In this paper, we are concerned with the further study for system of nonlinear equations. Since syst...
The Newton- Krylov iteration is the most prominent iterative method for solving non-linear system of...
AbstractIn this work we introduce a technique for solving nonlinear systems that improves the order ...
An alternative strategy for solving systems of nonlinear equations when the classical Newton's metho...
ABSTRACT The modified Newton method for solving systems of nonlinear equations is one of the Newton-...
AbstractThe paper presents a convergence analysis of a modified Newton method for solving nonlinear ...
In this work we introduce a technique for solving nonlinear systems that improves the order of conve...
We propose a modification to Newton’s method for solving nonlinear equations,namely a Jacobian Compu...
A nonlinear system of equations is said to be reducible if it can be divided into m blocks (m>1) in ...
A generalization of the Newton multi-step iterative method is presented, in the form of distinct fam...
Fundamental insight into the solution of systems of nonlinear equations was provided by Powell. It w...
AbstractIn this paper, we present a sequence of iterative methods improving Newton's method for solv...
We construct a novel multi-step iterative method for solving systems of nonlinear equations by intro...
We define and analyse partial Newton iterations for the solutions of a system of algebraic equations...
Abstract. Directional Newton methods for functions f of n variables are shown to converge, under sta...
In this paper, we are concerned with the further study for system of nonlinear equations. Since syst...
The Newton- Krylov iteration is the most prominent iterative method for solving non-linear system of...
AbstractIn this work we introduce a technique for solving nonlinear systems that improves the order ...
An alternative strategy for solving systems of nonlinear equations when the classical Newton's metho...
ABSTRACT The modified Newton method for solving systems of nonlinear equations is one of the Newton-...
AbstractThe paper presents a convergence analysis of a modified Newton method for solving nonlinear ...
In this work we introduce a technique for solving nonlinear systems that improves the order of conve...
We propose a modification to Newton’s method for solving nonlinear equations,namely a Jacobian Compu...
A nonlinear system of equations is said to be reducible if it can be divided into m blocks (m>1) in ...
A generalization of the Newton multi-step iterative method is presented, in the form of distinct fam...
Fundamental insight into the solution of systems of nonlinear equations was provided by Powell. It w...
AbstractIn this paper, we present a sequence of iterative methods improving Newton's method for solv...
We construct a novel multi-step iterative method for solving systems of nonlinear equations by intro...
We define and analyse partial Newton iterations for the solutions of a system of algebraic equations...
Abstract. Directional Newton methods for functions f of n variables are shown to converge, under sta...