In competitive programming, it is important to have a strong understanding of data structures and their respective operations. Three widely used data structures are stack, queue, and deque. Let's take a closer look at these data structures and their operations in the context of competitive programming using C++.
A stack is a Last-In-First-Out (LIFO) data structure. Elements are inserted and removed from the same end, called the "top" of the stack. Some key operations associated with a stack include:
x
at the top of the stack.In C++, the stack
container from the Standard Template Library (STL) provides a convenient implementation of stacks. Here's an example usage:
#include <stack>
using namespace std;
int main() {
stack<int> st;
st.push(5);
st.push(10);
st.push(15);
while (!st.empty()) {
cout << st.top() << " ";
st.pop();
}
return 0;
}
A queue is a First-In-First-Out (FIFO) data structure. Elements are inserted at one end, called the "rear," and removed from the other end, called the "front" of the queue. The following operations are associated with a queue:
x
at the rear of the queue.In C++, the queue
container from the STL provides an easy implementation of queues. Here's a sample code snippet:
#include <queue>
using namespace std;
int main() {
queue<int> q;
q.push(5);
q.push(10);
q.push(15);
while (!q.empty()) {
cout << q.front() << " ";
q.pop();
}
return 0;
}
Deque, short for "double-ended queue," supports insertion and removal of elements from both ends. It can be used as both a stack and a queue. Key operations for deques include:
x
at the rear of the deque.x
at the front of the deque.In C++, the deque
container from the STL provides a convenient implementation of deques. Here's an example usage:
#include <deque>
using namespace std;
int main() {
deque<int> dq;
dq.push_back(5);
dq.push_front(10);
dq.push_back(15);
while (!dq.empty()) {
cout << dq.front() << " ";
dq.pop_front();
}
return 0;
}
By mastering the operations of stacks, queues, and deques, you will have a strong foundation in competitive programming. These data structures prove to be incredibly useful in solving a wide range of problems efficiently.
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