normrow
- compas.numerical.normrow(A)[source]
Calculates the 2-norm of each row of matrix A.
- Parameters:
- Aarray
Matrix A represented as an (m x n) array.
- Returns:
- array
Column vector (m x 1) of values.
Notes
The calculation is the Euclidean 2-norm, i.e. the square root of the sum of the squares of the elements in each row, this equates to the “length” of the m row vectors.
Examples
>>> normrow(array([[2, -1, 3,], [1, 0, 1], [0, 2, -1]])) array([[3.74165739], [1.41421356], [2.23606798]])