[EN]
In this paper, we have constructed a derivative¿free weighted eighth¿order iterative method with and without memory for solving nonlinear equations. This method is an optimal method as it satisfies the Kung¿Traub ...
A derivative-free optimal eighth-order family of iterative methods for solving nonlinear equations is constructed using weight functions approach with divided first order differences. Its performance, along with several ...
Cordero Barbero, Alicia; Torregrosa Sánchez, Juan Ramón(Elsevier, 2011-06-01)
In this paper, a family of Steffensen type methods of fourth-order convergence for solving nonlinear smooth equations is suggested. In the proposed methods, a linear combination of divided differences is used to get a ...
Cordero Barbero, Alicia; Franceschi, Jonathan; Torregrosa Sánchez, Juan Ramón; Zagati, Anna C.(MDPI AG, 2019-09-02)
[EN] Several authors have designed variants of Newton¿s method for solving nonlinear equations by using different means. This technique involves a symmetry in the corresponding fixed-point operator. In this paper, some ...
Cordero Barbero, Alicia; Jordan-Lluch, Cristina; Torregrosa Sánchez, Juan Ramón(Elsevier, 2017)
[EN] The role of the derivatives at the iterative expression of methods with memory for solving nonlinear equations is analyzed in this manuscript. To get this aim, a known class of methods without memory is transformed ...
Cordero Barbero, Alicia; Hueso Pagoaga, José Luís; Martínez Molada, Eulalia; Torregrosa Sánchez, Juan Ramón(Hindawi Publishing Corporation, 2012)
A family of derivative-free methods of seventh-order convergence for solving nonlinear equations is suggested. In the proposed methods, several linear combinations of divided differences are used in order to get a good ...
We propose a family of eighth-order iterative methods without memory for solving nonlinear equations. The new iterative methods are developed by using weight function method and using an approximation for the last derivative, ...
Cordero Barbero, Alicia; Soleymani, Fazlollah; Torregrosa Sánchez, Juan Ramón; Haghani, F. Khaksar(Elsevier, 2017)
[EN] We present a parametric family of iterative methods with memory for solving of nonlinear problems including
Kurchatov¿s scheme, preserving its second-order of convergence. By using the tools of multidimensional real ...
Cordero Barbero, Alicia; Torregrosa Sánchez, Juan Ramón; Vassileva, María Penkova(Elsevier, 2011-12)
In this paper, we derive a new family of eighth-order methods for obtaining simple roots of nonlinear equations by using the weight function method. Each iteration of these methods requires three evaluations of the function ...
[EN] Newton-Raphson method has always remained as the widely used method for finding simple and multiple roots of nonlinear equations. In the past years, many new methods have been introduced for finding multiple zeros ...
Cordero Barbero, Alicia; Torregrosa Sánchez, Juan Ramón; Vassileva, Maria P.(Springer-Verlag, 2017)
[EN] Many problems related to gas dynamics, heat transfer or chemical reactions are modeled by means of partial differential equations that usually are solved by using approximation techniques. When they are transformed ...
Abad Rodríguez, Manuel Francisco; Cordero Barbero, Alicia; Torregrosa Sánchez, Juan Ramón(Société des Sciences Mathématiques de Roumanie, 2014)
[EN] This paper focuses on solving nonlinear systems numerically. We propose an efficient
family of three-step iterative schemes with seventh-order of convergence. The proposed
methods are obtained by using the weight ...
[EN] A new HSS-based algorithm for solving systems of nonlinear equations is presented and its semilocal convergence is proved. Spectral properties of the new method are investigated. Performance profile for the new scheme ...
Akgül, Alí; Cordero Barbero, Alicia; Torregrosa Sánchez, Juan Ramón(Elsevier, 2019-12)
[EN] The use of fractional calculus in many branches of Science and Engineering is wide in the last years. There are different kinds of derivatives that can be useful in different problems. In this manuscript, we put the ...
Cordero Barbero, Alicia; Soto-Quiros, Pablo; Torregrosa Sánchez, Juan Ramón(Elsevier, 2021-11-15)
[EN] A family of iterative schemes for approximating the inverse and generalized inverse of a complex matrix is designed, having arbitrary order of convergence p. For each p, a class of iterative schemes appears, for which ...
[EN] In this paper, we have constructed a derivative-free weighted eighth-order iterative class of methods with and without-memory for solving nonlinear equations. These methods are optimal as they satisfy Kung-Traub's ...
[EN] A general optimal iterative method, for approximating the solution of nonlinear equations, of (n+1) steps with 2(n+1) order of convergence is presented. Cases n=0 and n=1 correspond to Newton's and Ostrowski's schemes, ...
Gasso Matoses, María Teresa; Torregrosa Sánchez, Juan Ramón; Abad Rodríguez, Manuel Francisco(De Gruyter Open, 2015-08-05)
In this paperwe study the Hadamard product of inverse-positive matrices.We observe that this class of matrices is not closed under the Hadamard product, but we show that for a particular sign pattern of the inverse-positive ...
Cordero Barbero, Alicia; Rojas-Hiciano, Renso V.; Torregrosa Sánchez, Juan Ramón; Vassileva, María P.(Springer-Verlag, 2024-04)
[EN] In this manuscript, we present a new class of highly efficient two-parameter optimal iterative methods for solving nonlinear systems that generalizes Ostrowski's method, King's Family, Chun's method, and KLAM Family ...
[EN] A dynamical approach on the dynamics of iterative methods with memory for solving nonlinear
equations is made. We have designed new methods with memory from Steffensen’ or
Traub’s schemes, as well as from a parametric ...