def matrix_mult_sample():
A = Array.array([[1, 2], [3, 4]])
B = Array.array([[10, 3], [7, 4]])
# double transposition
A = Array.transpose(A)
B = Array.transpose(B)
C = dot(A, B)
return C
def matrix_mult_sample():
A = Array.array([[1, 2], [3, 4]])
B = Array.array([[10, 3], [7, 4]])
M = Array.transpose(A)
N = Array.transpose(B)
M = Array.array([[1, 1], [3, 0]])
C = dot(M, N)
return C
def matrix_mult_sample():
A = Array.array([[1, 2], [3, 4]])
B = Array.array([[10, 3], [7, 4]])
A = Array.transpose(A)
B = Array.transpose(B)
C = dot(A, B)
# the double transpose in place after the dot call
A = Array.transpose(A)
B = Array.transpose(B)
return C
def matrix_mult_sample():
A = Array.array([[1, 2], [3, 4]])
B = Array.array([[10, 3], [7, 4]])
M = Array.transpose(A)
N = Array.transpose(B)
C = dot(M, N)
# the double assignment after the dot call
M = Array.array([[1, 1], [3, 0]])
N = Array.array([[1, 0], [7, 0]])
return C
def matrix_mult_sample():
B = Array.array([[10, 3], [7, 4]])
# transposition
A = Array.array([[1, 2], [3, 4]])
A = Array.transpose(A)
C = dot(B, A)
return C
