Examples of using Column vector in English and their translations into Japanese
{-}
-
Colloquial
-
Ecclesiastic
-
Computer
-
Programming
Is the unit column vector.
The column vectors of A are linearly independent.
Is called a column vector.
Binary column vector- Each entry represents success(1) or failure(0).
We call this column vector.
R= roots(p) returns the roots of the polynomial represented by p as a column vector.
X= diag(A) returns a column vector of the main diagonal elements of A.
Results are returned in the column vector yy.
X= diag(A, k) returns a column vector of the elements on the kth diagonal of A.
The inputs u and v must be column vectors.
Create a row/column vector from a double[]: myRow= Nd4j.
X must be a tall column vector.
MATLAB matches the locations of the value 1 in ind to the corresponding elements of A and B,and lists their values in a column vector.
Yy= smooth(y) smooths the data in the column vector y using a moving average filter.
A(:) reshapes all elements of A into a single column vector.
If I want to assign this to a column vector, what I would do instead is do v 1;2;3.
Fixed a memory leak on updating index for column vector.
If dim= 2, then prod(A, 2) returns a column vector containing the product of the elements in each row.
The inputs u and v must be column vectors.
If X is row-ordered into the column vector x then AXB can also be written as(Jain 1989, 2.8 Block Matrices and Kronecker Products)(A⊗ BT)x.
W= bohmanwin(L) returns an L-point Bohman window in column vector w.
When you create the polygons, set FaceVertexCData to a column vector with one value per vertex and set FaceColor to'interp'.
If the'rows' flag is not specified and A is not a row vector, then C is a column vector.
We multiply this row vector times this column vector to get row 1, column 2, right?
If you have three points in the scatter plot and want the colors to be indices into the colormap,specify C as a three-element column vector.
If dim is equal to 2, then nanmean(X, 2)returns a column vector containing the mean for each row.
In general, when a scalar λ and a non-zero column vector x satisfy the relation Ax=λx for a square matrix A, λ is called an eigenvalue of A and x is called an eigenvector with respect to the eigenvalue λ.
If dim is equal to 2, then nanmean(X, 2)returns a column vector containing the mean for each row.
Matrices are flattened by rows,so you can use either row or column vectors, as long as you have the same number of elements in each matrix.