4 февр. 2014 г. · Following normal matrix multiplication rules, an (nx 1) vector is expected, but I simply cannot find any information about how this is done in Python's Numpy ...

9 апр. 2019 г. · I'm looking for a vectorised way to multiply more than 3 vectors in NumPy. As an example, X = np.array([1,2,3]) Y = np.array([4,5,6]) Z = np.

21 февр. 2022 г. · So basically vector * numbers[:, None] multiplies vector by each element of numbers .

29 мар. 2022 г. · I have a 2x2 rotation matrix and several vectors stored in a Nx2 array. Is there a way to rotate them all (ie multiply them all by the rotation matrix) at once?

17 мая 2020 г. · The most straightforward is to reshape the array vectors so that it has shape (3, 128 * 128) , then call the builtin np.dot function, and ...

5 авг. 2020 г. · I want to compute (a*b^{T}) , so a multiplied by b transpose, how can this be achieved in python/numpy? Doing just a*b should not yield the right result since ...

13 июл. 2022 г. · The multiplication is possible because v has only one dimension. Numpy considers it as a vector, so as this vector has 2 components, ...

18 февр. 2015 г. · In numpy operation, I have two vectors, let's say vector A is 4X1, vector B is 1X5, if I do AXB, it should result a matrix of size 4X5. But I ...

20 мар. 2015 г. · I'd like to multiply two vectors, one column (ie, (N+1)x1), one row (ie, 1x(N+1)) to give a (N+1)x(N+1) matrix.

16 сент. 2019 г. · You need to use two dimensional arrays to represent matrices/matrix multiplication. a = np.array([[1, 2]]) b = np.array([[3, 4]]) ...