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Listar por autor "Cerdán Soriano, Juana Mercedes"

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Listar por autor "Cerdán Soriano, Juana Mercedes"

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    A two-level ILU preconditioner for electromagnetic applications 
    Cerdán Soriano, Juana Mercedes; Marín Mateos-Aparicio, José; Mas Marí, José (Elsevier, 2017)
    [EN] Computational electromagnetics based on the solution of the integral form of Maxwell s equations with boundary element methods require the solution of large and dense linear systems. For large-scale problems the ...
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    Adaptación metodológica de la docencia de la asignatura Matemáticas II del Grado en Arquitectura Técnica de la UPV debida a la Pandemia 
    Cerdán Soriano, Juana Mercedes; Fullana Alfonso, Màrius Josep; Soler Fernández, David (Editorial Universitat Politècnica de València, 2021-11-02)
    [EN] This article presents the work carried out to adapt the subject Mathematics II in the Technical Architecture degree of the Polytechnic University of València (UPV) to the confinement conditions due to the COVID-19 ...
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    An inverse LU preconditioner based on the Sherman-Morrison formula 
    Bru García, Rafael; Cerdán Soriano, Juana Mercedes; Marín Mateos-Aparicio, José; Mas Marí, José (Universitatea "Ovidius" Constanta, 2024-04-01)
    [EN] An approximate inverse LU preconditioner is constructed based on the Sherman-Morrison formula. Applying recursively that inversion formula a multiplicative decomposition of the inverse of a matrix is obtained. This ...
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    Application of the Jacobi Davidson method for spectral low-rank preconditioning in computational electromagnetics problems 
    Mas Marí, José; Cerdán Soriano, Juana Mercedes; Malla Martínez, Natalia; Marín Mateos-Aparicio, José (Springer, 2015-01)
    [EN] We consider the numerical solution of linear systems arising from computational electromagnetics applications. For large scale problems the solution is usually obtained iteratively with a Krylov subspace method. It ...
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    Block approximate inverse preconditioners for sparse nonsymmetric linear systems 
    Cerdán Soriano, Juana Mercedes; Faraj El Guelei, Táher; Malla Martínez, Natalia; Marín Mateos-Aparicio, José; Mas Marí, José (KENT STATE UNIVERSITY, ETNA, DEPT MATHEMATICS & COMPUTER SCIENCE, KENT, USA, OH, 44242-0001, 2010)
    [EN] In this paper block approximate inverse preconditioners to solve sparse nonsymmetric linear systems with iterative Krylov subspace methods are studied. The computation of the preconditioners involves consecutive updates ...
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    Low-rank updates of balanced incomplete factorization preconditioners 
    Cerdán Soriano, Juana Mercedes; Marín Mateos-Aparicio, José; Mas Marí, José (Springer-Verlag, 2017)
    [EN] Let Ax = b be a large and sparse system of linear equations where A is a nonsingular matrix. An approximate solution is frequently obtained by applying preconditioned terations. Consider the matrix B = A + PQT where ...
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    On Updating Preconditioners for the Iterative Solution of Linear Systems 
    Guerrero Flores, Danny Joel (Universitat Politècnica de València, 2018-07-02)
    El tema principal de esta tesis es el desarrollo de técnicas de actualización de precondicionadores para resolver sistemas lineales de gran tamaño y dispersos Ax=b mediante el uso de métodos iterativos de Krylov. Se ...
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    Preconditioners based on the ISM factorization 
    Bru García, Rafael; Cerdán Soriano, Juana Mercedes; Marín Mateos-Aparicio, José; Mas Marí, José; Tuma, Miroslav (Tipografia Universitatii Ovidius, 2015)
    In this paper we survey our work on preconditioners based on the Inverse Sherman-Morrison factorization. The most important theoretical results are also summarized and some numerical conclusions are provided.
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    Preconditioners for nonsymmetric linear systems with low-rank skew-symmetric part 
    Cerdán Soriano, Juana Mercedes; Guerrero-Flores, Danny Joel; Marín Mateos-Aparicio, José; Mas Marí, José (Elsevier, 2018-12-01)
    [EN] We present a preconditioning technique for solving nonsymmetric linear systems Ax = b, where the coefficient matrix A has a skew-symmetric part that can be well approximated with a skew-symmetric low-rank matrix. The ...
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    Preconditioners for rank deficient least squares problems 
    Cerdán Soriano, Juana Mercedes; Guerrero, D.; Marín Mateos-Aparicio, José; Mas Marí, José (Elsevier, 2020-07)
    [EN] In this paper we present a method for computing sparse preconditioners for iteratively solving rank deficient least squares problems (LS) by the LSMR method. The main idea of the method proposed is to update an ...