Compute the Frobenius norm of a matrix: the square root of the sum of the squares of all its entries.
Implement solve(A).
Returns. Return a float.
Example 1
Input:
solve([[3.0, 4.0]])
Output:
5.0
Example 2
Input:
solve([[1.0, 2.0], [2.0, 4.0]])
Output:
5.0
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