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Listar por palabra clave "Sparse matrices"

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Listar por palabra clave "Sparse matrices"

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    Improved balanced incomplete factorization 
    Bru García, Rafael; Marín Mateos-Aparicio, José; Mas Marí, José; Tuma, Miroslav (Society for Industrial and Applied Mathematics, 2010)
    [EN] . In this paper we improve the BIF algorithm which computes simultaneously the LU factors (direct factors) of a given matrix and their inverses (inverse factors). This algorithm was introduced in [R. Bru, J. Mar´ın, ...
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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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    Sparse N-way partial least squares with R package sNPLS 
    Hervás-Marín, David; Prats-Montalbán, José Manuel; Lahoz Rodríguez, Agustín Gerardo; Ferrer, Alberto (Elsevier, 2018)
    [EN] We introduce the R package sNPLS that performs N-way partial least squares (N-PLS) regression and Sparse (L1-penalized) N-PLS regression in three-way arrays. N-PLS regression is superior to other methods for three-way ...
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    Updating preconditioners for modified least squares problems 
    Marín Mateos-Aparicio, José; Mas Marí, José; Guerrero-Flores, Danny Joel; Hayami, K. (Springer-Verlag, 2017)
    [EN] In this paper, we analyze how to update incomplete Cholesky preconditioners to solve least squares problems using iterative methods when the set of linear relations is updated with some new information, a new variable ...