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How to add a vector to a matrix


How to add a vector to a matrix

By : Napior
Date : October 16 2020, 06:10 PM
I wish did fix the issue. I have a matrix of shape (13,10) I want to add vector of zeros till the shape becomes 20 rows and 10 columns
code :
z = np.zeros((13, 10))
x = np.zeros((1, 10))
y = np.vstack((z, x))
y.shape
(14, 10)


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Vector-matrix & matrix-matrix multiplication using SSE for any size of input matrix and vector

Vector-matrix & matrix-matrix multiplication using SSE for any size of input matrix and vector


By : MichaelDroid
Date : March 29 2020, 07:55 AM
This might help you It seems you are loading and storing exclusively with mm_load_ps and mm_store_ps, which load and store 4 floats in a single instruction.
Since your containers (matrixes and vectors) do not have necessarily a size which is a multiple of 4 floats (16 bytes) this is incorrect.
can we change the vector into matrix in numpy with the elements in the vector repeats in a matrix with m*n dimensions

can we change the vector into matrix in numpy with the elements in the vector repeats in a matrix with m*n dimensions


By : Adam
Date : March 29 2020, 07:55 AM
help you fix your problem If I understand the question correctly you could simply use np.repeat and reshape:
code :
>>> import numpy as np

>>> arr = np.array([1,2,3,4])
>>> n = 3
>>> np.repeat(arr, n).reshape(-1, arr.size)
array([[1, 1, 1],
       [2, 2, 2],
       [3, 3, 3],
       [4, 4, 4]])
>>> n = 7
>>> np.broadcast_to(arr, (n, arr.size)).T
array([[1, 1, 1, 1, 1, 1, 1],
       [2, 2, 2, 2, 2, 2, 2],
       [3, 3, 3, 3, 3, 3, 3],
       [4, 4, 4, 4, 4, 4, 4]])
Error: requires numeric/complex matrix/vector arguments when using matrix times vector multiplication

Error: requires numeric/complex matrix/vector arguments when using matrix times vector multiplication


By : Greg Gould
Date : March 29 2020, 07:55 AM
I hope this helps . This works fine. You must have some NAs in your cpi_calc table. Try na.omit(cpi_calc)
code :
cpi_calc <- read.table(text="0.358  0.359   0.06    0.419   0.191   0.296
100 100 100 100 100 100
99.99   100 100.07  100.01  100.8   101.59
99.52   99.58   99.94   100.01  101.03  101.38
99.46   99.44   99.85   100.01  101.03  101.03
99.13   99.37   99.79   99.97   101 101.82",header=FALSE)

as.matrix(cpi_calc[2:6, 1:6]) %*% t(cpi_calc[1, 1:6])
         1
2 168.3000
3 168.9282
4 168.5832
5 168.4024
6 168.4669
How do I multiply a matrix by a vector in python without any built in functions where both the vector and matrix are inp

How do I multiply a matrix by a vector in python without any built in functions where both the vector and matrix are inp


By : user2580804
Date : March 29 2020, 07:55 AM
this one helps. Input validation
First, you should introduce some validation checks on the input.
code :
ncols = len(matrix1[0])
for row in matrix1[1:]:
    if len(row) != ncols:
        #stop the program and raise an error to the user.
Non-intuitive perf diff between `matrix * vector`, `matrix’ * vector` and `copy(matrix’) * vector` Usage Performance bla

Non-intuitive perf diff between `matrix * vector`, `matrix’ * vector` and `copy(matrix’) * vector` Usage Performance bla


By : user3232940
Date : March 29 2020, 07:55 AM
should help you out Question from Julia Discourse , Answer from @stevengj in the same Discourse thread:
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