Searching and Sorting Algorithms

A bright and engaging illustration of various sorting and searching algorithms, featuring elements like arrays, binary search trees, and quicksort partitioning, with colorful graphics and abstract representations of algorithm efficiency.

Mastering Searching and Sorting Algorithms

Test your knowledge of essential searching and sorting algorithms with this engaging quiz! Cover a variety of topics including binary search, quick sort, and much more.

In this quiz, you will learn:

Key concepts in searching algorithms
Differences between sorting methods
Practical application of algorithms in programming

16 Questions4 MinutesCreated by SearchingStar204

Which of the following is not a limitation of binary search algorithm?

Must use a sorted array

There must be a mechanism to access middle element directly

requirement of sorted array is expensive when a lot of insertion and deletions are needed

binary search algorithm is not efficient when the data elements more than 1500.

The worst-case occur in linear search algorithm when

Item is somewhere in the middle of the array

. Item is not in the array at all

Item is the last element in the array

Item is the last element in the array or item is not there at all

The Average case occurs in the linear search algorithm

When the item is the last element in the array

When the item is somewhere in the middle of the array

When the item is not the array at all

Item is the last element in the array or item is not there at all

Which of the following sorting algorithm is of divide and conquer type?

Bubble sort

Insertion sort

Merge sort

Selection sort

Partition and exchange sort is

quick sort

Heap sort

bubble sort

Mearge Sort

Which of the following algorithm does not divide the list

Linear search

Binary search

Merge sort

Quick sort

Quick sort algorithm is an example of

Greedy approach

Improved binary search

Dynamic Programming

Divide and conquer

Quick sort running time depends on the selection of

Size of array

Pivot element

Sequence of values

None of the above

How many swaps are required to sort the given array using bubble sort - { 2, 5, 1, 3, 4}

The worst case complexity of binary search matches with

Interpolation search

Linear search

Merge sort

None of the above

State True or False.

i) Binary search is used for searching in a sorted array.

ii) The time complexity of binary search is O(logn).

True

False

A technique for direct search is

Binary Search

Linear Search

Hashing

Which of the following is not an in-place sorting algorithm?

Bubble Sort

Heap Sort

Quick Sort

Merge Sort

A sorting technique is called stable if it

Takes O(n log n) times

Maintains the relative order of occurrence of non-distinct elements

Uses divide-and-conquer paradigm

Takes O(n) space

Select the appropriate code that performs bubble sort.

for(int j=arr.length-1; j>=0; j--) {

for(int k=0; k<j; k++) {

if(arr[k] > arr[k+1]) {

int temp = arr[k];

arr[k] = arr[k+1];

arr[k+1] = temp;

}

for(int j=arr.length-1; j>=0; j--)
{
	for(int k=0; k<j; k++)
	{
		if(arr[k] < arr[k+1])
		{
			int temp = arr[k];
			arr[k] = arr[k+1];
			arr[k+1] = temp;
		}
	}
}

for(int j=arr.length; j>=0; j--)
{
	for(int k=0; k<j; k++)
	{
		if(arr[k] > arr[k+1])
		{
			int temp = arr[k];
			arr[k] = arr[k+1];
			arr[k+1] = temp;
		}
	}
}

for(int j=arr.length; j>=0; j--)
{
	for(int k=0; k<j; k++)
	{
		if(arr[k] > arr[k+2])
		{
			int temp = arr[k];
			arr[k] = arr[k+1];
			arr[k+1] = temp;
		}
	}
}

Searching and Sorting Algorithms

Mastering Searching and Sorting Algorithms

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