1
GATE CSE 2004
MCQ (Single Correct Answer)
+2
-0.6
What does the following algorithm approximate?
(Assume m > 1, $$ \in > 0$$)
x = m;
y = 1;
while(x - y > ε){
 x = (x + y) / 2;
 y = m/x;
}
print(x);
A
log m
B
m2
C
m1/2
D
m1/3
2
GATE CSE 2003
MCQ (Single Correct Answer)
+2
-0.6
The cube root of a natural number n is defined as the largest natural number m such that $${m^3} \le n$$. The complexity of computing the cube root of n (n is represented in binary notation) is
A
O(n) but not O(n0.5)
B
O(n0.5) but not O((log n)k) for any constant k > 0
C
O((log n)k) for some constant k > 0, but not O((log log n)m) for any constant m > 0
D
O((log log n)k) for some constant k > 0.5, but not O((log log n)0.5)
3
GATE CSE 2002
MCQ (Single Correct Answer)
+2
-0.6
The running time of the following algorithm Procedure A(n)
If n<=2 return (1) else return (A([$$\sqrt n $$])); is best described by
A
O(n)
B
O(log n)
C
O(log log n)
D
O(1)
4
GATE CSE 2002
MCQ (Single Correct Answer)
+2
-0.6
Consider the following algorithm for searching for a given number x in an unsorted array A[1..n] having n distinct values:
1. Choose an i uniformly at random fro 1..n;
2. If A[i]=x then stop else Goto 1;
Assuming that x is present A, what is the expected number of comparisons made by the algorithm before it terminates?
A
n
B
n-1
C
2n
D
n/2
GATE CSE Subjects
Software Engineering
Web Technologies
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