Assertion: matrix | /r/HasProperty | square
Facets:
value: frequently
type: DEGREE
value: always
type: DEGREE
Source sentences:
text: The determinant is found by taking a square matrix (the first matrix in the vector-matrix form should always be a square) and finding the result when the products of the downward left diagonal numbers is subtracted from the products of the downward right diagonals.
text: A matrix with the same number of rows and columns is called a square matrix.
text: If the matrix is square, it is possible to deduce some of its properties by computing its determinant.
text: The matrices used in social network analysis are frequently "square.
text: If m = n , the matrix is square
text: Hence, the only case where the transpose of a matrix can be equal to it is when the matrix is square.
text: Even if the matrix is square, its transpose may or may not be equal to it.
text: A matrix can be skew symmetric only if it is square.
text: The matrix must be square (same number of rows and columns).
text: One way to characterize the linear dependence of the rows (or columns, if the rows are linearly dependent and the matrix is square, then the columns are linearly dependent as well) in three dimensions is that the volume of the parallelepiped formed by the rows (or columns) of M is zero.
text: The matrices used in social network analysis are frequently "square.
text: It may seem that the requirement that the matrix of coefficients be square is overly restrictive.