What is the order of the following algorithm? for (i = 1; i < n; i++) for (j = 1; j < 1000000; j++) x++; 2. What is the order of the following algorithm? for (i = 1; i < n; i++) for (j = 1; j < i; j++) x++;
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2. What is the order of the following
for (i = 1; i < n; i++)
for (j = 1; j < 1000000; j++)
x++;
2. What is the order of the following algorithm?
for (i = 1; i < n; i++)
for (j = 1; j < i; j++)
x++;
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- Calculate the time complexity and represent by using asymptotic notation for the following code: int p=3, r=2; int f=1; for(int i=0; iWhat is the time complexity and Big O notation for each of the following code segments? P = 0;for(i=0;i<n;i=i+2){P = P + 1;} f(n) =O(n) =Enter the time complexity of the algorithm below. Justify the answer.What are the complexities of the following code segments in terms of n? Give an upper bound. a) int i=1;while (i<= n) { int j = i; while (j > 0) j = j/2;i++; } b) int i,j s=0; for (i=0; i<n; i++) { i--; s++; if (s == n) { i++; s = 0; } } c) while (n > 0) { for (int i=0; i<n; i++) sum++; n = n/2; }Q3. Compute the complexity (O-big notation) of the following algorithms and explain the result mathematically. a. while (n> 1) { if (ODD(n)) //function ODD(n) of constant complexity that returns true if n is odd, // otherwise returns false i = 3 * n + 1; else for (i=1;iNo code - Determine the complexity and the number of times the multiplication process has been done for the following - for (int i = 1; i < n; i = i ++) for( int q = n; q > 1; q = q / 2 ) int d = d * 2;General Computer science questionsConsider the following algorithm: sum = 0 for j in range(1,15): sum = sum + (5*j - 1) print(sum) What is printed as a result of executing this algorithm?Answer the given question with a proper explanation and step-by-step solution. Calculate the time complexity of the function: int a = 0; for(int i = 0; i < n; i++){ a += i; } int b = 0; for(int j = 0; j < m; j++){ b += j; }e) Find the time complexity of the codes shown below: Factorial ( n ) for (j = n - 1; j> 0; j = j - 1) { { if n= 1 for (i = 0; i A[ i+ 1]) { return 1 else return n * Factorial ( n - 1) } Temp= A[ i ]; RecMinimum (A[], 1, r) if r-1<1 return min (A[ 1], A[ r ])) else A[ i] = A[ i+1]; A[ i+ 1] = Temp; mid = [(ltr)/2] ml = RecMinimum (A, I, mid) m2 = RecMinimum (A, mid+1, r) return (min(m1,m2)) } } Activ1. Analyze the time complexity of the code segment and find their Big-O.void myfunction1(int n){for(int i=0; i < n; i++) {for(int j=0; j < n; j++) {for(int k=0; k < n; k++) {for(int m=0; m < n; m++) {printf("Hello!");} } } }}Question Time complexity calculation 1. Suppose there is an ordered list of 128 names. You need to use binary search to find one of them. How many steps does it take to find it? 2. After doubling the length of the above list, how many steps are required at most? 3. Analyze the program and find the time complexity of the algorithm 2) ( 3 ) for(i=1;i<=n;i++) (1) i=l;k=0; while(iRecommended textbooks for youDatabase System ConceptsComputer ScienceISBN:9780078022159Author:Abraham Silberschatz Professor, Henry F. Korth, S. SudarshanPublisher:McGraw-Hill Education
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