Delete Front----
DQDELETE_FRONT(QUEUE, FRONT, REAR, ITEM)
1. [check for queue underflow]
If FRONT<0, Then: Print: "Queue is empty", and Return.
2. ITEM = QUEUE[FRONT];
3. Set FRONT = FRONT + 1.
4. Return.
Delete Rear----
DQDELETE_REAR(QUEUE, REAR, FRONT, ITEM)
1. [check for queue underflow]
If REAR<0, Then: Print: "Queue is empty", and Return.
2. ITEM = QUEUE[REAR].
3. Set REAR = REAR - 1.
4.Return.
#include<deque> std::deque<int> deq; deq.push_back (42); deq.pop_back (); deq.push_front (0); deq.pop_front ();
The queue insert operation is known is enqueue. A queue has two ends namely REAR & FRONT. After the data has been inserted in a queue ,the new element becomes REAR.The queue deletion operation is known as dequeue. The data at the front of the queue is removed .
A deque, or double-ended queue, is a versatile data structure that allows insertion and deletion of elements from both ends, making it useful for various applications. It supports operations like adding or removing elements efficiently from either front or back, which is beneficial for scenarios such as implementing queues, stacks, or maintaining a sliding window over a dataset. Deques provide greater flexibility than traditional queues or stacks, enabling more complex data management and algorithm implementations.
Both algorithms have the same efficiency and both are based on the same greedy approach. But Kruskal's algorithm is much easier to implement.
Delete them both!
Chameleon is a hierarchical clustering algorithm that merges two clusters based both on inter-connectivity and proximity
no both are not same if we do copy it s not delete to that place but we use cut iwill be delete no both are not same if we do copy it s not delete to that place but we use cut iwill be delete
It is a powerful algorithm for signing up a number of multiplication. It generates a 2n bit product and it treats both +ve & -ve number uniformly.
The algorithm will have both a constant time complexity and a constant space complexity: O(1)
RSA
To search a particular element from the vector, use the find() algorithm. If the vector is sorted, you can use the binary_search() algorithm to improve efficiency. Both algorithms can be found in the <algorithm> header in the C++ standard library.
These elements are metalloids.