Write a function inner_product that takes as its input two vectors a and b, and returns as its output their inner product. Hint: It will be important to use the conj function to conjugate the appopriate element since b'a ba when b is complex. Note the use of the gassert macro to check if the vectors have the same length. "Compute b' a" function inner product (a:: AbstractVector, b::AbstractVector) @assert length(a) == length(b) n = length(a) 19 and Check: ip = 0.0 for i in 1: length (a) ip + a[i] conj(b[i]) end return ip Run Verify Solution inner_product We now check to see if your code matches what the dot function returns. Note that dot (b, a) = inner_product (a, b) 1a = [1; 2; 2 b = [4; 5; dot (a, b) Revert 3] + im 6] + in ✓ Validate [3; 4; 5] [5; 6; 7] inner product (b, a) 5 error = abs(dot(b, a) inner product (a, b)) 6 println("Error equals Serror") Stale outouts ✓6ms Stale outputs 252ms

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</> Write a function inner_product that takes as its input two vectors a and b, and returns as its output their inner product. Hint: It will be important to use the conj function to conjugate the appopriate element since b'a ba when b is complex. Note the use of the gassert macro to check if the vectors have the same l