Nagarro SDE Interview Questions and Answers

The problem involves dividing an array into K subsets with equal sum.

• Use backtracking to try all possible combinations of subsets.

• Keep track of the sum of elements in each subset and check if they are equal to the target sum.

• Optimize by sorting the array in descending order and assigning elements to subsets greedily.

• Handle edge cases like when the sum of elements is not divisible by K.

Sort a doubly linked list where each node's position deviates at most K positions from its position in the sorted list.

• Iterate through the doubly linked list and maintain a min-heap of size K+1 to keep track of the next smallest element.

• Remove the smallest element from the heap and add it to the sorted list. Update the heap with the next element from the removed node's next position.

• Continue this process until all nodes are added to the sorted list.

Given start and end times of meetings, find the maximum number of meetings that can be scheduled in a single room.

• Sort the meetings based on their end times in ascending order.

• Iterate through the sorted meetings and select the ones that do not overlap with the previously selected meetings.

• Keep track of the selected meetings and return their indices.

Merge k sorted linked lists into one single sorted linked list.

• Create a min-heap to store the heads of all linked lists.

• Pop the smallest element from the heap and add it to the result list.

• If the popped element has a next element, push it back to the heap.

• Repeat until all elements are merged into a single sorted list.

Find root values of duplicate subtrees in a binary tree.

• Traverse the tree in a bottom-up manner to identify duplicate subtrees.

• Use a hashmap to store the subtree structures and their frequencies.

• Return the root values of duplicate subtrees based on hashmap entries.