Please answer ASAP Thank You
1Consider an algorithm that requires the following number of operations (time units) for these input sizes (n). The algorithm is ___________ .
| Input size | Operations |
| 100 | 100,000 |
| 400 | 100,000 |
| 1600 | 100,000 |
Group of answer choices
1.O(n2)
2.O(n)
3.O(log n)
4.O(n3)
5.O(1)
2The below algorithm contains nested loops.
for (int total = 1; total <= n; total++) {
for (int samples = 0; samples < n; samples++) {
for (int location = 1; location < 10; location++) {
...
}
}
}
This algorithm has _____________ complexity.
Group of answer choices
1.O(10n)
2.O(n3)
3.O(n2)
4.O(n log n)
5.O(1)
3Bubble sort makes at most _____________ passes through an array to sort n items.
Group of answer choices
1.n2
2.n log n
3.n - 1
4.n - 3
5.log n
1 O(1)
explanation :- as we can see that on vary the input size the operation or time is constant so it is O(1)
2 O(n2)
expalnation
her T(n) = 10 n^2 = O(n2)
3 n2
Please answer ASAP Thank You 1Consider an algorithm that requires the following number of operations (time...
Please Help ASAP. 1Consider the below code which iterates over a linked list of n nodes (assume the list has at least 1 node). How many lines of output will it write? Node *thisNode = headPtr; while (thisNode != null) { cout << thisNode->item << endl; thisNode = thisNode->next; } 1.n 2.1 3.n2 4.n / 2 5.2 * n 2The below algorithm contains nested loops. for (int total = 1; total <= n; total++) { for (int samples = 0;...
Consider the following loop nest: int sum = 0; for(int j = 0; j < N * N; j += 2) for(int i = 2*N; i > 0; i--) sum++; What is the Big-O behavior? Group of answer choices O(1) O(log N) O(N) O(N log N) O(N2) O(N3) 2.Consider the following loop nest: int sum = 0; for(int j = 1; j < N; j *= 2) for(int i = 0; i < N; i += 2) sum++; What is...
Java Match the sorting algorithm with its time complexity, where n is the number of elements in the collection and k is the range of values. (This is a one-for-one match where an answer can only match one description.) Group of answer choices selection sort [ Choose ] O(n + k) O(n) to O(n^2) O(n log n) O(n^2) bubble sort [ Choose...
You are running algorithm with squared complexity on data with 100 elements and it takes 10 seconds. How much time do you expect the algorithm will take when executed on data with 1000 elements? Order the following: O(n2), O(12 + 7n), O(n log(n) + 300 n2 + 1/125 n3)
In C++ How do you demo that selection sort has O(N2) complexity? Meaning of the O(N2). If you have N=1000 input values the selection sort need roughly 1000000 steps. What is the meaning of thee ‘step’ here? One ALU comparison, one swapping of values, or one calculation step on one value of the array. What is the total number of steps for selection sort? Let me use an example N=5, to help me think 4+1-__ 3+1-__ 2+1-__ 1+1-__ F(N)=__________________________ This...
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STATEMENT 3: Algorithm A takes n log, (n) + 10na elementary operations and algorithm B takes 1776 + n log, n. Then for large enough input algorithm A is faster than algorithm B. Statement 3 is (Select] STATEMENT 4: The running time of the following piece of code is nº log, (n)) k+1 fori + 1 to n do ifiis a power of 5 then while k <n do k elementary operations kk -- 1 Statement 4 is (Select]
Question 13 pts (TCO 4) Which of the following functions grows at a slower rate than the rest? n2 n log n n3 Flag this Question Question 23 pts (TCO 4) Algorithms can be described using pseudo-code. assignment and arithmetic operations. loops and decision statements. All of the above Flag this Question Question 33 pts (TCO 4) The running time of an algorithm is the time, in milliseconds, it takes to complete its execution. the running time of its implementation....
Please answer this in python
pseudocode. It's an algorithm question.
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