Answer:
Time Complexity of Problem - O(n)
Explanation:
When n= 1024 time taken is t. on a particular computer.
When computer is 8 times faster in same time t , n can be equal to 8192. It means on increasing processing speed input grows linearly.
When computer is 8 times slow then with same time t , n will be 128 which is (1/8)th time 1024.
It means with increase in processing speed by x factor time taken will decrease by (1/x) factor. Or input size can be increased by x times. This signifies that time taken by program grows linearly with input size n. Therefore time complexity of problem will be O(n).
If we double the speed of original machine then we can solve problems of size 2n in time t.
Answer:
lol i would but i have an Xbox...
Explanation:
Answer:
Digital communication technologies
Explanation:
connecting people across the globe has become easier and faster. Platforms such as Zoom, Room, Microsoft teams, WebEx, and many others are buzzing virtual world spaces to connect and share.
Softboxes have an umbrella on the front. The answer to your question is A. I hope that this is the answer that you were looking for and it has helped you.
The two Python data structures that are already thread-safe are list and tuples.
<h3>What are the data structures in Python?</h3>
Python is known to give room for its users to make their own Data Structures.
It helps one to be able to have total hold or control over their work or output functionality. Some key Data Structures are Stack, Queue, and others.
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