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Sonja [21]
2 years ago
7

Which of the following shows a list of Big-Oh running times in order from slowest to fastest?

Computers and Technology
2 answers:
Irina18 [472]2 years ago
8 0

Answer: I pretty much agree with him.

Explanation:

Rufina [12.5K]2 years ago
5 0

Answer:

O(N!), O(2N), O(N2), O(N), O(logN)

Explanation:

N! grows faster than any exponential functions, leave alone polynomials and logarithm. so O( N! ) would be slowest.

2^N would be bigger than N². Any exponential functions are slower than polynomial. So O( 2^N ) is next slowest.

Rest of them should be easier.

N² is slower than N and N is slower than logN as you can check in a graphing calculator.

NOTE: It is just nitpick but big-Oh is not necessary about speed / running time ( many programmers treat it like that anyway ) but rather how the time taken for an algorithm increase as the size of the input increases. Subtle difference.

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8.3 code practice edhesive PLEASE HELP AND HURRY
NemiM [27]

Answer:

numbers = '14 36 31 -2 11 -6'

nums = numbers.split(' ')

for i in range(0, len(nums)):

  nums[i] = int(nums[i])

print(nums)

8 0
3 years ago
Write a function that takes in two parallel lists: a list of times (in increasing order), and a list of distance traveled by tha
Georgia [21]

Below is the function that takes two parallel lists;

List of times in increasing order and that of distance travelled by that point in time.

I put into consideration the instructions given in the question.

ANSWER;

def find_velocity(time, distance):

velocities = []

for i in range(1, len(time)):

velocities.append((distance[i] - distance[i - 1]) / (time[i] - time[i - 1]))

return velocities

times are = [1, 3, 5, 7]

distances are = [25, 29, 35, 70]

print(find_velocity(times, distances))

7 0
3 years ago
You have been tracking your exercise routine, which involves running, lifting weights, yoga, and stretching. You want to see wha
Harrizon [31]

The best chart to see the data distribution for the exercise routine would be a pie chart. Using Microsoft Excel, you can input each data point you have for all you exercise routine category, and generate a pie chart which will show you the percentage for each category in comparison to the total.


5 0
3 years ago
Read 2 more answers
Why is it important to recognize the proper boundaries or limits of algorithms?
Oduvanchick [21]

Answer:

D

Explanation:

DDDD no war\t

4 0
3 years ago
What does it mean to calculate frequencies within a dataset?
WITCHER [35]

Answer:

to count the number of cases that fall into different subgroups within a dataset.

Explanation:

To calculate the frequency within the dataset means to count the number of times that item or condition on which we are checking the column within the dataset is true or the frequency of the case that is coming into different subgroups.

Hence the answer of this question is third option given in the question.

8 0
3 years ago
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