
You are provided with a linked list that contains k distinct elements. Your task is to generate and return a new linked list of length k, where each node’s value represents the frequency of a distinct element from the original linked list. The order of frequencies in the new list does not matter.
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[1, 10^5].1 <= Node.val <= 10^5Count Frequencies: Use a dictionary to count how many times each unique value appears as you traverse the original linked list.
Build New Linked List: Create a new linked list where each node holds one of the frequency values from the dictionary.
Ignore Order: Since the final order of frequencies does not matter, you can append the new nodes in any sequence based on the dictionary values.
This approach is linear in time and space relative to the number of nodes, making it optimal for the input constraints.
In this solution, the goal is to calculate the frequency of each element in a linked list using a C++ program, and then return a new linked list that represents these frequencies.
Solution class containing the elementFrequencies function, which takes a ListNode* representing the head of the input linked list.unordered_map to store the frequencies of each value within the linked list. The map's key is the node value, and the value is a ListNode* pointing to a node in a new linked list that maintains frequency counts.currentNode, to traverse the original linked list starting from its head. Also, maintain a freqHead pointer which serves as the head of the new frequency linked list.currentNode becomes nullptr. For each element:freqMap:freqMap and increment its value, which keeps count of the frequency.ListNode initializing its value to 1 (as the current number appears for the first time), and insert it into the frequency linked list maintaining the insertion order.freqHead, which now points to the head of a newly formed linked list representing the frequencies of each distinct value in the original list.This organized approach allows for an effective calculation of frequencies using the linear structure of linked lists combined with the efficiency of hash tables. The function returns a linked list where each node's value corresponds to the frequency of elements from the original list, ordered by their first occurrence.
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