Understanding and Solving the " Reverse Linked List" Coding Problem.
Jean Claude Adjanohoun
Software Engineer |Student Pilot | Community Leader | Dual career |
Given the head of a singly linked list, reverse the list, and return the reversed list.
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Example 1:
Input: head = [1,2,3,4,5]
Output: [5,4,3,2,1]
Example 2:
Input: head = [1,2]
Output: [2,1]
Example 3:
Input: head = []
Output: []
Solution Steps
function reverseList(head) {
let prev = null;
let curr = head;
while (curr) {
let nextTemp = curr.next;
curr.next = prev;
prev = curr;
curr = nextTemp;
}
return prev;
}
Time Complexity
The time complexity of this algorithm is O(n), where n is the number of nodes in the linked list. This is because we traverse the list once, and each node's pointer is changed exactly once.
Space Complexity
The space complexity is O(1), indicating constant space usage. This efficiency is due to not allocating any additional data structures; we're only using a few pointer variables regardless of the size of the input list.
Conclusion
Reversing a linked list is a fundamental problem that demonstrates the power of pointer manipulation. It's a great example of how a seemingly complex task can be achieved with a simple and efficient algorithm. Understanding this problem enhances one's grasp of linked lists, a vital concept in computer science and software engineering.
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