QUESTION9 What is the time complexity of the following code? for (int i=1;i<=10;i++) System.out.println(i); for (int j=1;j
Q: Q. Time Complexity of the following code will be in the order of 0()? int i, j, k ニ n / 2; (j for (i…
A: Introduction given, A piece of code.we have to find the time complexity of the executing loops.…
Q: What is the time complexity and Big O notation for each of the following code segments?…
A: The code segment given:- for(i=0;i<n;i=i+2){ Statement;} Asked to find the time complexity…
Q: Question 3: What is the time complexity of following code. Show the time complexity of each…
A: The answer is given below:-
Q: Question 3 Analyze the time complexity of each block of code and give the big-O notation. 1) int n…
A: - Solving the first three problems. Kindly post the remaining separately. - We need to compute…
Q: b. please implement the code in the language of your choice and give the running time for three…
A: Actually, program is an executable software that runs on a computer.
Q: What is the time complexity (big O notation) of the following fragment of code? int i = 1; while( i…
A: Dear Student, As the loop variable i is getting multiplied by itself , so the time complexity will…
Q: What is the leading term for the following expressions and specify the lowest Big O Complexity for…
A: The fundamental rule to find the leading term is-- It is the term with the highest exponent. And on…
Q: Question 40 Given the ff. code snippet, determine the time complexity: int f3(int n) { int sum = for…
A: Hello student Hope you are learning well.
Q: Calculate the time complexity of the following code and represent it in Big-oh(o) Notation. int…
A: int a=2, b=3, c; c= a + b; cout << c; In the above code the basic calculation step…
Q: Q1. Suppose you have an algorithm where the efficiency function is T(n)=1/8 n² , where n is the size…
A: If your algorithm’s growth rate is linear (i.e., if the equation that describes the running time on…
Q: 6. What is the order, O(?) of the following function? 2" + 100n? + 45n 8. Suppose an algorithm takes…
A: a) o(2n) is the big O notation for the problem
Q: Suppose you have a computer that requires 1 minute to solve problem instances of size n=1,000.…
A: Answer: (a).Here, for the old computer, we are considering time as 1 minute for n = 1000. For the…
Q: Let, the time complexity of each of the following code snippets be T(n). Find out a tight bound for…
A:
Q: sum = 0; for (k=1; k<=n; k*=2) for (j=1; j<k; j++) sun++ What is the time complexity of…
A: The Time Complexity of the following code will be O(nlogn).
Q: or the following block of code, select the most appropriate Big-O running time in terms of the input…
A: Here in this question we have given a code segment and we have asked to find the time complexity in…
Q: b) For each of the following expressions below, write the corresponding Big-Oh complexity.…
A: time complexity of the examples are shown below in step2.
Q: Consider a recursive function to return the Number of Binary Digits in the Binary Representation of…
A: This algorithm is mainly used to find out the pairs in the array such that its target value is equal…
Q: Please give the big-O time complexity of the following snippet of code and state the reason why it…
A: Ans: The Big- O time complexity of the given code is def something(n): print("n is n")…
Q: Find the correct asymptotic complexity of an algorithm with runtime T(n) where T(x) = O(n) + T(3 * x…
A: As you recuriment photo type computer language
Q: 4. What is the time complexity of the following code? for(i= 0; i<n; i++) %3D for (j= 0; j<n; j++)
A: =>here in the question given two for loop like this for(i=0;i<n;i++) for(j=0;j<n;j++)…
Q: Analyze the following code using step account (total number of steps). Give the detailed analysis.…
A: The asymptotic complexity of the given algorithm
Q: Calculate the time complexity for the code below with steps in deriving the result, take one unit of…
A: Given data is shown below: Calculate the time complexity for the code below with steps in deriving…
Q: 1. What is the time complexity of the following code snippet- S = 0, sum = 1 %3D For (i e; i < n; i…
A: //first lets analyse the code for time complexity:s=0,sum=1 //runs in constant time :…
Q: Determine Big O for the following code fragments in the average case. Assume that all variables are…
A: The performance or complexity of an algorithm is measured using Big O notation. It describes as the…
Q: 18. What is the complexity of the following code expressed in O() notation? If more than one answer…
A: The question has been answered in step2
Q: Hello, Could you please help me elaborate on "Running Time Complexity", "Space Complexity", and…
A: Running Time Complexity: Time complexity is nothing but the total amount of time required to run a…
Q: Code B int i = 1; int j = 1; while (i <= 5) { int i = 2;…
A: Compare the complexities of the following two pieces of code using the cyclomatic complexity…
Q: b) Compute the time complexity of the following codes using Big-O notation: #include i #include ii…
A: i) Time complexity is- for first nested loop first "for" loop of nested loop has complexity of…
Q: Using the Master theorem write the time complexity of T(n). T(n) = T(3n/4) +O(n)
A: Using the Master theorem the time complexity of T(n). T(n) = T(3n/4) +O(n)
Q: Exercise III: Catalan numbers For n e N, denote by c, to be the number of ways to form a "mountain…
A: Answer: Our guidelines is answer the first three question from the first question. I have given…
Q: hat is the time complexity and Big O notation for each of the following code segments?…
A: for(i=0;i<n;i++){Statement;} f(n) =O(n) =
Q: What is the Big-O complexity of the following code snippets: for (int i = 0; i 0) { x /= 2; cout…
A: The outermost for loop iterates from i=0 to n-1, a total of n times The inner for loop iterates from…
Q: What is the time complexity and Big O notation for each of the following code segments?…
A: Big O notation represents the worst time complexity of the program. Given code segment is,…
Q: Calculate the time complexity of the following code: int p=1; for(int i=0; i<n; i++) { p = p * i…
A: Here in this code as we can see p =1; for(int i=0;i<n;i++){ { p=p*i*i;} This loop run for n…
Q: In plain words, Big O notation describes the complexity of your code using algebraic terms. For each…
A: We are asked the Big O notation complexity for the given functions. Big O defines as: If f(n) =…
Q: Q5. What is the time complexity of following code? int a = 0; for (i = 0; ii; j--) { a = a + i + j;…
A: The amount of time taken by an algorithm to run as a function of the amount of length of the input…
Q: Let, the time complexity of each of the following code snippets be T(n). Find out a tight bound for…
A: Introduction: Let, the time complexity of each of the following code snippets be T(n). Find out a…
Q: Write an efficient algorithm for the following problem (either pseudocode or java), and describe…
A: Step 1: Initialize two variables count1 and count2 to store the count of first and second maximum…
Q: 43) Review the given program below and answer the questions that follows. Winclude int i, j: int…
A: Answer: 4.3 a) The above program does the loop condition checking. My program method contains two…
Q: Exercise: Which of the following statements is/are valid? 1. Time Complexity of QuickSort is O(n^2)…
A: According to the asked question, the solution is given below with a proper explanation.
Q: What is the time, space complexity of following code: int a = 0, b = 0; for (i = 0; i < N; i++) { a…
A: The answer is given below:--
Q: What is the time complexity of the algorithm? Consider the following array values and apply quick…
A: The time taken would be (n+1) + ((n+1) * (n)) + (n+1) + (n+1) So, time complexity ~ O(n^2)
Q: What is the time complexity and Big O notation for each of the following code segments
A: In the given piece of code, we have a for loop in which condition is based on the value of n
Q: .7. What is the correct answer to fill the blank in the algorithm marked Q.17? A. (Alp...rl, K) B.…
A: (A[p...m],K)
Q: 25. Suppose you have a computer that requires 1 minute to solve problem instances of size n = 1,000.…
A: Time complexities is defined as the total amount of time a program required to run. The lesser the…
Q: q11) Find the time complexity for the program code and represent it in Big O notation. int…
A: Answer: c. O(n)
Q: Consider the following code where n can be any number of more than 20. Select the correct time…
A: Answer 8: for the question 8 the time complexity will be option B. O(nm) because outer loop is…
Q: Demonstrate as many algorithmic paradigms as possible to write a program that raises the number X to…
A: In this question we have to write all the possible algorithms (algorithmic paradigms) to find…
Q: 5.What is the worst-case efficiency class of the following algorithm? * line no. 1 ALGORITHM Q5…
A: The answer for the above mentioned question is given in the following steps for your reference.
Q: What is the time complexity and Big O notation for each of the following code segments?…
A: The Big O notation gives the worst case complexity which is the tightest upper bound. Given code…
Step by step
Solved in 2 steps
- Question No 2: Compare the complexities of the following two pieces of code using the cyclomatic complexity metrics. What conclusions can you draw about relative complexity of the code? Code A Code B int i = 1; int j = 1; while (i <= 5) { int i = 2; Playacard(i); if (j =i); if (playhaswon(i)) j++; else i++; i++; else System.out.println(j); i--; i++; }Compare the complexities of the following two pieces of code using the cyclomatic complexity metrics. What conclusions can you draw about relative complexity of the code? [6 marks] Code A Code B int i = 1; int j = 1; while (i <= 5) { int i = 2; Playacard(i); if (j =i); if (playhaswon(i)) j++; else i++; i++; else System.out.println(j); i--; i++; }Information is present in the screenshot and below. Based on that need help in solving the code for this problem in python. The time complexity has to be as less as possible (nlogn or n at best, no n^2). Apply dynamic programming. Include and use necessary libraries and packages. Make sure ALL test cases return expected outputs. Output FormatOutput a single line containing the fastest time to get to square N from square 1. Sample Input 05 2 1 4 13 Sample Output 06 Explanation 0The optimal answer is to: RUN to square 2 (+2 seconds). Sonic now has 1 energy. DASH to square 3 (+1 second). Sonic now has 0 energy. RUN to square 4 (+2 seconds). Sonic now has 1 energy. DASH to square 5 (+1 second). Sonic now has 0 energy. Total time is 6 seconds. Sample Input 15 4 2 10 0 Sample Output 112 Explanation 1The optimal answer is to: RUN to square 2 (+4 seconds). Sonic now has 1 energy. RUN to square 3 (+4 seconds). Sonic now has 2 energy. DASH to square 4 (+2…
- What is the time complexity for the following code/program?int a = 0; for (i = 0; i < N; i++) { for (j = N; j > i; j--) { a = a + i + j;}}I want answer in c++ or python. Submit code and output screenshot. Else i give you downvote. The ensuing line contains n specific entire numbers a1,a2,… ,an (1≤ai≤n) — the real stage. It is guaranteed that the measure of n over everything tests doesn't outperform 2021. Yield :For each analysis, in the event that it's hard to sort the given change in everything thought about 5n2 reversals, print a lone entire number −1. Regardless, print a number m (0≤m≤5n2), demonstrating the amount of reversals in your game plan of steps, followed by m entire numbers pi (1≤pi≤n; pi is odd), implying the lengths of the prefixes of a to be convoluted, in consecutive solicitation. Note that m shouldn't be restricted. In the event that there are various answers, print anyInformation is present in the screenshot and below. Based on that need help in solving the code for this problem in python. The time complexity has to be as less as possible (nlogn or n at best, no n^2). Apply dynamic programming. Do not use recursion/memoization. Make sure ALL test cases return expected outputs. Sample Input 04 412340123 Sample Output 013715 Explanation 0You are given the sequence 1,2,3,4.F0 = A0 = 1F1 = A1 + F0 = 2 + 1 = 3F2 = A2 + F1 + F0 = 3 + 3 + 1 = 7F3 = A3 + F2 + F1 + F0 = 4 + 7 + 3 + 1 = 15 The actual code def solve(k,a): MOD = 1000000007 # compute and return answer here q, n = list(map(int,input().rstrip().split(" ")))a = [int(input().rstrip()) for i in range(n)]outs = []for i in range(q): k = int(input().rstrip()) outs.append(solve(k,a))print("{}".format("\n".join(list(map(str,outs)))))
- Information is present in the screenshot and below. Based on that need help in solving the code for this problem in python. The time complexity has to be as less as possible (nlogn or n at best, no n^2). Apply dynamic programming. Do not use recursion. Make sure ALL test cases return expected outputs. Output FormatOutput a single line containing the fastest time to get to square N from square 1. Sample Input 05 2 1 4 13 Sample Output 06 Explanation 0The optimal answer is to: RUN to square 2 (+2 seconds). Sonic now has 1 energy. DASH to square 3 (+1 second). Sonic now has 0 energy. RUN to square 4 (+2 seconds). Sonic now has 1 energy. DASH to square 5 (+1 second). Sonic now has 0 energy. Total time is 6 seconds. Sample Input 15 4 2 10 0 Sample Output 112 Explanation 1The optimal answer is to: RUN to square 2 (+4 seconds). Sonic now has 1 energy. RUN to square 3 (+4 seconds). Sonic now has 2 energy. DASH to square 4 (+2 seconds). Sonic now has 1 energy.…Please could you provide a piece of detailed coding/programming, with pseudocode and flowchart, comments, for the Trapezoidal rule and Simpson’s rule for numerical integration pair of algorithms in Python and compare their performances(e.g., execution times, precision, etc. as appropriate) as the problem size gets bigger. test code using pytest Please show evidences that the implementations were thoroughly tested.What is the worse-case complexity scenario for the following snippets of code? Please show the breakdown of your calculations.Two loops in a row: A nested loop in which the number of times the inner loop executes depends on the value of the Outer loop index. For ( I = 0; I < N; i++) { For ( j = N; j > I; j- - ) { Sequence of statements } }
- Information is present in the screenshot and below. Based on that need help in solving the code for this problem in python. The time complexity has to be as less as possible. Apply dynamic programming and memoization. Do not use recursion. Make sure ALL test cases return expected outputs. Hint: Approach the problem with 2D Dynamic Programming. Output FormatOutput one line containing a single integer containing the answer as described in the problem statement. This number must be output mod 109 + 7. Sample Input 0:3 9357 Sample Output 0:5 Sample Input 1:3 23151615 Sample Output 1:4 Sample Input 2:3 6123 Sample Output 2:8 The actual code: def solve(n,c,ws): # compute and return answer here # place 2 nested for loops here MOD = 1000000007n, c = list(map(int,input().rstrip().split(" ")))ws = [int(input().rstrip()) for i in range(n)]print(solve(n,c,ws))Information is present in the screenshot and below. Based on that need help in solving the code for this problem in python. The time complexity has to be as less as possible (nlogn or n at best, no n2) and runtime should be under 1 second. Apply dynamic programming. Do not use recursion. Make sure ALL test cases return expected outputs. Output FormatFor each query, output one line containing an integer Dn. The number must be output mod (109 + 7). Sample Input 0:501234 Sample Output 0:10129 Edge Case: (to test against runtime and timeout error)300000 (number of queries)300000300000300000300000...and so on until there are 300,000 of them The actual code: def solve(n): MOD = 1000000007 # compute and return answer here q = int(input().rstrip()) outs = [] for i in range(q): n = int(input().rstrip()) outs.append(solve(n)) print("{}".format("\n".join(list(map(str,outs)))))Please explain Crime Wave more clearly for me please there's a picture of the decription and also please comment on each line if possible on the code below to for me to have a better understanding of what each line is doing. It is in C++. Please also give the space and time complexity and the reason why. #include <stdio.h>#include <string.h>#include <math.h>#define eps 1e-6double W[105][105];int N, M;int mx[105], my[105]; // match arrdouble lx[105], ly[105]; // label arrint x[105], y[105]; // used arrint hungary(int nd) { int i; x[nd] = 1; for(i = 1; i <= M; i++) { if(y[i] == 0 && fabs(W[nd][i]-lx[nd]-ly[i]) < eps) { y[i] = 1; if(my[i] == 0 || hungary(my[i])) { my[i] = nd; return 1; } } } return 0;}double KM() { int i, j, k; double d; memset(mx, 0, sizeof(mx)); memset(my, 0, sizeof(my)); memset(lx, 0, sizeof(lx)); memset(ly, 0, sizeof(ly));…