Problem 3: Dot Product Write a function which takes input parameters A, and B and returns the dotproduct of two matrices then compare your dot product function w.r.t. the built-in function np.dot() [ ] def dotprod(A,B): ▸ A- np.array([[3,4],[-1, 2]]) B = np.array([[5,2], [8, -3]]) #calculate dotprod(A,B) Compare your results to the built.in function np. dot(A,B)
Problem 3: Dot Product Write a function which takes input parameters A, and B and returns the dotproduct of two matrices then compare your dot product function w.r.t. the built-in function np.dot() [ ] def dotprod(A,B): ▸ A- np.array([[3,4],[-1, 2]]) B = np.array([[5,2], [8, -3]]) #calculate dotprod(A,B) Compare your results to the built.in function np. dot(A,B)
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
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Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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![Problem 3: Dot Product
Write a function which takes input parameters A, and B and returns the dotproduct of two matrices
then compare your dot product function w.r.t. the built-in function np.dot()
[ ] def dotprod(A,B):
A = np.array([[3,4],[-1, 2]])
B = np.array([[5,2],[8,
-3]])
#calculate dotprod (A,B)
Compare your results to the built.in function np. dot(A, B)
[ ] np.dot(A,B)
[ ] # how about some random matrices,](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fe16b9d6f-7695-45f6-ac82-d7c8c8031381%2Fef65d5bf-d3ef-4bea-9b1b-d2564c549b90%2Fxkztvl_processed.png&w=3840&q=75)
Transcribed Image Text:Problem 3: Dot Product
Write a function which takes input parameters A, and B and returns the dotproduct of two matrices
then compare your dot product function w.r.t. the built-in function np.dot()
[ ] def dotprod(A,B):
A = np.array([[3,4],[-1, 2]])
B = np.array([[5,2],[8,
-3]])
#calculate dotprod (A,B)
Compare your results to the built.in function np. dot(A, B)
[ ] np.dot(A,B)
[ ] # how about some random matrices,
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