Data Structures & Algorithms Multiple Choice Questions on “Bogosort”.
1. Which of the following is not an alternative name of bogosort?
a) stupid sort
b) permutation sort
c) donkey sort
d) monkey sort
Answer: c
Clarification: Bogosort is also known by names like stupid sort, monkey sort, permutation sort, slow sort and shotgun sort.These names are particularly chosen due to its inefficient algorithm.
2. Bogosort works by __________ Answer: a 3. What is the auxiliary space requirement of bogosort? Answer: b 4. What is the best case time complexity of bogosort? Answer: b 5. What is the worst case time complexity of bogosort? Answer: c 6. Which of the following sorting algorithm is not stable __________ Answer: d 7. Which of the following is an in-place sorting algorithm? 8. Sleep sort should be preferred over bogosort as it has better time complexity. 9. What is the average case time complexity of bogosort? Answer: b 10. Which of the following code correctly implements bogosort algorithm? b) c) d) Answer: a
a) generating random permutations of its input
b) partitioning the array
c) dividing the value of input elements
d) generating permutations according to the value of first element of array
Clarification: Bogosort algorithm successively generates permutations of its input. This process is repeated until the sorted version of the array is found.
a) O(n)
b) O(1)
c) O(log n)
d) O(n log n)
Clarification: Bogosort algorithm do not require any extra space for sorting the input array. Thus its auxiliary space requirement is O(1).
a) O(n2)
b) O(n)
c) O(n log n)
d) O(1)
Clarification: Best case time complexity of bogosort occurs when the input array is already sorted. So in such a case we only need to check whether all the elements are sorted which can be done in O(n) time.
a) O(n2)
b) O(n*n!)
c) O(infinity)
d) O(n log n)
Clarification: There is no upper bound to the worst case of this algorithm. It can go on to take very large amount of time if the array has many elements. So the worst case of this algorithm can be taken as O(infinity).
a) insertion sort
b) bubble sort
c) merge sort
d) bogosort
Clarification: Out of the given algorithms only bogosort is not stable. This is because it creates permutations of the input array in order to obtain the sorted version. So there is no guarantee that the sorted version obtained by such a method gives a stable output.
a) Merge sort
b) Bogosort
c) Radix sort
d) Counting sort
Answer: b
Clarification: Out of the given algorithms only bogosort is an in-place sorting algorithm. It is because bogosort algorithm do not require any extra space for sorting the input array.
a) true
b) false
Answer: b
Clarification: If we sort an array using sleep sort then there is no guarantee that the output we get is correctly sorted. So even though sleep sort is better than bogosort in time complexity but it cannot be preferred due to its inaccuracy.
a) O(n2)
b) O(n*n!)
c) O(infinity)
d) O(n log n)
Clarification: For calculating the average we first need to calculate the number of possible permutations an array of size n can have. This will be equal to n!. As each permutation also needs to be checked whether it is sorted or not so this takes another n time. Thus overall time complexity becomes O(n*n!).
a)bool isSorted(int a[], int n)
{
while ( --n > 1 )
if (a[n] < a[n-1])
return false;
return true;
}
void shuffle(int a[], int n)
{
for (int i=0; i < n; i++)
swap(a[i], a[rand()%n]);
}
void bogosort(int a[], int n)
{
while ( !isSorted(a, n) )
shuffle(a, n);
}
bool isSorted(int a[], int n)
{
while ( --n > 1 )
if (a[n] < a[n-1])
return true;
return false;
}
void shuffle(int a[], int n)
{
for (int i=0; i < n; i++)
swap(a[i], a[rand()%n]);
}
void bogosort(int a[], int n)
{
while ( !isSorted(a, n) )
shuffle(a, n);
}
bool isSorted(int a[], int n)
{
while ( --n > 1 )
if (a[n] > a[n-1])
return true;
return false;
}
void shuffle(int a[], int n)
{
for (int i=0; i < n; i++)
swap(a[i], a[rand()%n]);
}
void bogosort(int a[], int n)
{
while ( !isSorted(a, n) )
shuffle(a, n);
}
bool isSorted(int a[], int n)
{
while ( --n > 1 )
if (a[n] < a[n-1])
return false;
return true;
}
void shuffle(int a[], int n)
{
for (int i=0; i < n; i++)
swap(a[i], a[rand()%n]);
}
void bogosort(int a[], int n)
{
while ( isSorted(a, n) )
shuffle(a, n);
}
Clarification: To implement bogosort algorithm we need to shuffle the input array until we get the sorted array. So we first check whether the array is sorted using function isSorted(). If it is not, then we shuffle it using function shuffle(). This process is repeated until we get a sorted array.