- singular square matrix
- noun
: a square matrix whose determinant is zero
Useful english dictionary. 2012.
Useful english dictionary. 2012.
square matrix — noun a matrix with the same number of rows and columns • Hypernyms: ↑matrix • Hyponyms: ↑diagonal matrix, ↑determinant, ↑Latin square, ↑magic square, ↑nonsingular matrix, ↑singular matrix … Useful english dictionary
Singular value decomposition — Visualization of the SVD of a 2 dimensional, real shearing matrix M. First, we see the unit disc in blue together with the two canonical unit vectors. We then see the action of M, which distorts the disk to an ellipse. The SVD decomposes M into… … Wikipedia
Matrix decomposition — In the mathematical discipline of linear algebra, a matrix decomposition is a factorization of a matrix into some canonical form. There are many different matrix decompositions; each finds use among a particular class of problems. Contents 1… … Wikipedia
Matrix (mathematics) — Specific elements of a matrix are often denoted by a variable with two subscripts. For instance, a2,1 represents the element at the second row and first column of a matrix A. In mathematics, a matrix (plural matrices, or less commonly matrixes)… … Wikipedia
singular matrix — noun a square matrix whose determinant is zero • Ant: ↑nonsingular matrix • Hypernyms: ↑square matrix … Useful english dictionary
singular — adjective 1》 Grammar (of a word or form) denoting or referring to just one person or thing. ↘single; unique. 2》 exceptionally good or great; remarkable. ↘strange or eccentric in some respect. 3》 Mathematics (of a square matrix) having a… … English new terms dictionary
Matrix theory — is a branch of mathematics which focuses on the study of matrices. Initially a sub branch of linear algebra, it has grown to cover subjects related to graph theory, algebra, combinatorics, and statistics as well.HistoryThe term matrix was first… … Wikipedia
Matrix norm — In mathematics, a matrix norm is a natural extension of the notion of a vector norm to matrices. Contents 1 Definition 2 Induced norm 3 Entrywise norms 3.1 Frobenius norm … Wikipedia
Singular value — In mathematics, in particular functional analysis, the singular values, or s numbers of a compact operator T acting on a Hilbert space are defined as the eigenvalues of the operator sqrt{T^*T} (where T * denotes the adjoint of T and the square… … Wikipedia
Invertible matrix — In linear algebra an n by n (square) matrix A is called invertible (some authors use nonsingular or nondegenerate) if there exists an n by n matrix B such that where In denotes the n by n identity matrix and the multiplication used is ordinary… … Wikipedia