The Hilbert matrix H is square matrix where row i and column j (using Python's zero...

 

Transcribed Image Text:

The Hilbert matrix H is square matrix where row i and column j (using Python's zero indexing) of the n x n matrix are given by: 1 Aij for i = = 0,...,n 1, and for j = 0,...,n-1 i+j+1 For n=5 the Hilbert matrix is given by: 1213 1712 1314 ... (##) 43 1 1 8 9 (a) Write your own Python function to return the Hilbert matrix for general n. Loop over both i and j (that is, use a nested double for loop) and name the function "my_hilbert_loop". Display the output for n = 10. [5] (b) Write your own Python function to return the Hilbert matrix for general n. In this case only use a single for loop in the function by vectorising part of the code. Name the function "my_hilbert_vec". Display the output for n = 10. [5] The Hilbert matrix H is square matrix where row i and column j (using Python's zero indexing) of the n x n matrix are given by: 1 Aij for i = = 0,...,n 1, and for j = 0,...,n-1 i+j+1 For n=5 the Hilbert matrix is given by: 1213 1712 1314 ... (##) 43 1 1 8 9 (a) Write your own Python function to return the Hilbert matrix for general n. Loop over both i and j (that is, use a nested double for loop) and name the function "my_hilbert_loop". Display the output for n = 10. [5] (b) Write your own Python function to return the Hilbert matrix for general n. In this case only use a single for loop in the function by vectorising part of the code. Name the function "my_hilbert_vec". Display the output for n = 10. [5]

Answer rating: 100% (QA)

Here are the implementations of the requested functions in ... View the full answer