In numerical analysis and scientific computing, a sparse matrix or sparse array is a matrix in which most of the elements are zero. There is no strict...
25 KB (3,182 words) - 22:06, 10 June 2024
In mathematics, particularly matrix theory, a band matrix or banded matrix is a sparse matrix whose non-zero entries are confined to a diagonal band, comprising...
8 KB (1,164 words) - 07:59, 30 April 2024
LAPACK defines various matrix representations in memory. There is also Sparse matrix representation and Morton-order matrix representation. According...
4 KB (465 words) - 09:31, 30 March 2024
Sparse matrix–vector multiplication (SpMV) of the form y = Ax is a widely used computational kernel existing in many scientific applications. The input...
1 KB (111 words) - 18:28, 12 August 2023
The Sparse Matrix Converter is an AC/AC converter which offers a reduced number of components, a low-complexity modulation scheme, and low realization...
9 KB (1,183 words) - 17:29, 4 May 2022
adjacency matrix and the time needed to perform operations on them is dependent on the matrix representation chosen for the underlying matrix. Sparse matrix representations...
20 KB (2,462 words) - 13:45, 9 July 2024
a hollow matrix may refer to one of several related classes of matrix: a sparse matrix; a matrix with a large block of zeroes; or a matrix with diagonal...
3 KB (422 words) - 00:57, 30 November 2023
directional gradient of a rasterized matrix. Once a matrix or a high dimensional vector is transferred to a sparse space, different recovery algorithms...
23 KB (3,496 words) - 08:22, 5 March 2024
following equivalent definition is in matrix form. Let V {\displaystyle V} be a p×p symmetric matrix, one can rewrite the sparse PCA problem as max T r ( Σ V )...
16 KB (2,239 words) - 00:15, 20 June 2024
Therefore, this type of data model relates to the mathematical notion of a sparse matrix. EAV is also known as object–attribute–value model, vertical database...
66 KB (9,728 words) - 21:40, 18 June 2024