row of matrix

  • 1Matrix equivalence — In linear algebra, two rectangular m by n matrices A and B are called equivalent if for some invertible n by n matrix P and some invertible m by m matrix Q. Equivalent matrices represent the same linear transformation V → W under two… …

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  • 2Matrix normal distribution — parameters: mean row covariance column covariance. Parameters are matrices (all of them). support: is a matrix …

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  • 3matrix — UK US /ˈmeɪtrɪks/ noun [C] (plural matrixes or matrices) ► a group of numbers or other things arranged in a rectangle that can be used to solve a problem or measure something: »The bottom row of the matrix indicates typical lead times for… …

    Financial and business terms

  • 4Set row of matrix-case — Поперечно рядные матрицы …

    Краткий толковый словарь по полиграфии

  • 5Unit row of matrix-case — Единичный ряд матриц …

    Краткий толковый словарь по полиграфии

  • 6Matrix (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)… …

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  • 7Matrix multiplication — In mathematics, matrix multiplication is a binary operation that takes a pair of matrices, and produces another matrix. If A is an n by m matrix and B is an m by p matrix, the result AB of their multiplication is an n by p matrix defined only if… …

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  • 8Row equivalence — In linear algebra, two matrices are row equivalent if one can be changed to the other by a sequence of elementary row operations. Alternatively, two m times; n matrices are row equivalent if and only if they have the same row space. The concept… …

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  • 9Row space — In linear algebra, the row space of a matrix is the set of all possible linear combinations of its row vectors. The row space of an m times; n matrix is a subspace of n dimensional Euclidean space. The dimension of the row space is called the… …

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  • 10Row echelon form — In linear algebra a matrix is in row echelon form if * All nonzero rows are above any rows of all zeroes, and * The leading coefficient of a row is always strictly to the right of the leading coefficient of the row above it.This is the definition …

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