fix code below to get the correct output getting the following results.docx
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fix code below to get the correct output getting the following results your Output (stdout) Expected Output def count_operations(ns): # Count the number of operations incurred by calling tabulate on each value in the given list results = [] for n in ns: count = 0 for i in range(1, n+1): for j in range(1, n+1): count += 1 count += 1 count += (i*j)%n count += (i//j) results.append(count) return results .
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![fix code below to get the correct output getting the following results
your Output (stdout)
Expected Output
def count_operations(ns):
# Count the number of operations incurred by calling tabulate on each value in the given list
results = []
for n in ns:
count = 0
for i in range(1, n+1):
for j in range(1, n+1):
count += 1
count += 1
count += (i*j)%n
count += (i//j)
results.append(count)
return results](https://image.slidesharecdn.com/fixcodebelowtogetthecorrectoutputgettingthefollowingresults-230220072801-a08db7c2/85/fix-code-below-to-get-the-correct-output-getting-the-following-results-docx-1-320.jpg)
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It is often very interesting how ideas evolve in Math. Fourier used the technique that now bears his name to study the heat equation. As it happens, the same technique is also very useful when studying wave phenomena, which are mathematically described by a very different type of equation (more on that towards the end of the semester). For now, suffice to say that the theory tells us that in a given medium which supports waves (say, the surface of a body of water), a generic wave can be seen as a sum of simple oscillating functions, which propagate in a simple way. Consider waves on the surface of long and narrow circular channel. The surface elevation can be written as h ( x , t ) = n = N /2 N /2 1 A n e i ( k n x ( k n ) t ) . Here k n = 2 n / L is the wavenumber with L the length of the channel (remember, the channel is circular, so the domain is periodic), and ( k n ) the frequency at which a wave with wavenumber k n oscillates, x is the position along channel (measured from an arbitrary point) and t is time. For water waves we have ( k n ) = g k n tanh ( k n H ) . Here g is the gravitational acceleration and H the depth of the channel. Of course, we interested in the real part of that expression, but by now you should not be afraid to handle complex values. The (complex) coefficients A n are calculate from measurements of the surface at t = 0 . Then the equation above can be used to determine the shape of the surface at any later time. Write Figure 1. Example of Noise and clean signal a Matlab function hOut = evolveWave ( hIn , g , H , t ) that takes a vector hIn of measurements of surface elevation at time t = 0 and return a vector h0ut containing the surface elevation at an arbitrary later time t. H and g are the depth of the channel and the acceleration of gravity. The input vector contains a great number of points, so you must use fast algorithms. Assume that the size of hIn is even. Submit your function via Matlab Grader. Use your function to plot hOut vs. X when X and h In are given by [ X , hIn ] = profile () and t = 10 , g = 9.81 , H = 0.5 , L = 5 .
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Forty bus drivers were asked how many hours they spend each day running their routes (rounded to the nearest half hour). Find the 34th percentile. Amount of time spent on route (hours) Frequency Relative Frequency Cumulative Relative Frequency 2 15 0.34 0.34 3 13 0.3 0.64 4 12 0.27 0.91 5 4 0.09 1 The 34th percentitle is
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