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  1. Prepare
  2. Python
  3. Numpy
  4. Dot and Cross
  5. Discussions

Dot and Cross

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338 Discussions

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  • nareshpadiyar
     + 0 comments
    import numpy as np 
N = int(input())
input_list_A = np.array([list(map(int, input().split())) for i in range(N)])
input_list_B = np.array([list(map(int, input().split())) for i in range(N)])
print(np.dot(input_list_A,input_list_B))

  • jazz1916_jdc
     + 0 comments
    import numpy as np

N = int(input())

A = np.array([list(map(int, input().split()))for _ in range(N)])
B = np.array([list(map(int, input().split()))for _ in range(N)])

result = np.dot(A,B)

print(result)

  • nidhipawankumar
     + 0 comments

    import numpy n=int(input()) arr_a=[] for _ in range(n): arr_a.append(list(map(int,input().split()))) arr_b=[] for _ in range(n): arr_b.append(list(map(int,input().split())))

    print(numpy.dot(arr_a,arr_b))

  • [deleted]Challenge Author     + 0 comments

    For Python3

    Use Dot Product to do matrix multiplication for multiple dimensions

    import numpy

n = int(input())
A = numpy.array([input().split() for _ in range(n)], dtype=int)
B = numpy.array([input().split() for _ in range(n)], dtype=int)

print(numpy.dot(A, B))

  • rajatsinu5344
     + 0 comments

    Just use this easy code

    import numpy

    n=int(input()) A=[] B=[] for _ in range(n): A.append(list(map(int,input().split()))) for _ in range(n): B.append(list(map(int,input().split())))

    A=numpy.array(A) B=numpy.array(B)

    C=numpy.dot(A,B)

    print(C)