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Listar por palabra clave "Matrix decomposition"

Mostrando ítems 1-4 de 4

A Parallel Structured Divide-and-Conquer Algorithm for Symmetric Tridiagonal Eigenvalue Problems

Liao, Xia; Li, Shengguo; Lu, Yutong; Román Moltó, José Enrique (Institute of Electrical and Electronics Engineers, 2021-02-01)

[EN] In this article, a parallel structured divide-and-conquer (PSDC) eigensolver is proposed for symmetric tridiagonal matrices based on ScaLAPACK and a parallel structured matrix multiplication algorithm, called PSMMA. ...
Further properties on the core partial order and other matrix partial orders

Malik, Saroj B.; Rueda, Laura Catalina; Thome, Néstor (Taylor & Francis, 2014-12-02)

This paper carries further the study of core partial order initiated by Baksalary and Trenkler [Core inverse of matrices, Linear Multilinear Algebra. 2010;58:681-697]. We have extensively studied the core partial order, ...
Numerical approximations with tensor-based techniques for high-dimensional problems

Mora Jiménez, María (Universitat Politècnica de València, 2024-01-29)

[ES] La idea de seguir una secuencia de pasos para lograr un resultado deseado es inherente a la naturaleza humana: desde que empezamos a andar, siguiendo una receta de cocina o aprendiendo un nuevo juego de cartas. Desde ...
Structure and approximation properties of Laplacian-like matrices

Conejero, J. Alberto; Falcó, Antonio; Mora-Jiménez, María (Springer-Verlag, 2023-07-15)

[EN] Many of today's problems require techniques that involve the solution of arbitrarily large systems Ax = b. A popular numerical approach is the so-called Greedy Rank-One Update Algorithm, based on a particular tensor ...

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Listar por palabra clave "Matrix decomposition"

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Listar por palabra clave "Matrix decomposition"