dot product

let rec safe_dot_product (vect1: int list) (vect2: int list) : int option = 
  match (vect1, vect2) with
    | [],[] -> Some 0
    | [],_ -> None
    | _,[] -> None
    | (x::xs, y::ys) ->
      match safe_dot_product xs ys with
        | None -> None
        | Some m -> Some ((x*y) + m)

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3.43

7

Phil Merrin 80 points

                                    a = np.array([[1,2],[3,4]]) 
b = np.array([[11,12],[13,14]]) 
np.dot(a,b)
[[37  40], [85  92]]

Thank you! 7

3.43 (7 Votes)

0

4

6

Callfr 80 points

                                    import numpy.matlib 
import numpy as np 

a = np.array([[1,2],[3,4]]) 
b = np.array([[11,12],[13,14]]) 
np.dot(a,b)

Thank you! 6

4 (6 Votes)

0

4.17

6

MMD 135 points

                                    Let a be a vector with coordinates (a1, a2, a3)
Let b be a vector with coordinates (b1, b2, b3)

Dot Product (final answer is a scalar): 
&lt;a1, a2, a3&gt; &bull; &lt;b1, b2, b3&gt; = a1*b1 + a2*b2 + a3*b3

a &bull; b = |a||b|cos&theta;, where &theta; is the angle between the two vectors

Thank you! 6

4.17 (6 Votes)

0

3.63

8

Obscureed 90 points

                                    a = c(1,2)
b = c(0,1)

# Perform the dot product
a%*%b

Thank you! 8

3.63 (8 Votes)

0

0

0

Salhin 100 points

                                    A = [1,2,3,4,5,6]
B = [2,2,2,2,2,2]

# with numpy
import numpy as np
np.dot(A,B) # 42
np.sum(np.multiply(A,B)) # 42
#Python 3.5 has an explicit operator @ for the dot product
np.array(A)@np.array(B)# 42
# without numpy
sum([A[i]*B[i] for i in range(len(B))]) # 42

Thank you! 0

0

0

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