Kth Smallest Number in M Sorted Lists
Explore how to find the kth smallest number across multiple sorted lists using the k-way merge approach. Understand how to handle duplicate elements and edge cases, and implement an efficient solution to retrieve the desired element or the largest value when k exceeds the total elements.
We'll cover the following...
Statement
Given a list, lists, containing k, find the
Even if some values appear multiple times across the lists, each occurrence is treated as a unique element when determining the
If k exceeds the total number of elements across all lists, return the largest element among them. If the lists are empty, return 0.
Constraints:
-
lists[i].length -
lists[i][j] -
k
Examples
Understand the problem
Let’s take a moment to make sure you’ve correctly understood the problem. The quiz below helps you check if you’re solving the correct problem:
Smallest Number in Sorted Lists
What is the output if the following lists and the value of k are given as input?
list1 = [1, 4, 5]
list2 = [4, 7, 8]
list3 = [2, 6, 9]
k = 5
7
5
6
Figure it out!
We have a game for you to play. Rearrange the logical building blocks to develop a clearer understanding of how to solve this problem.
Try it yourself
Implement your solution in the following coding playground.
import { MinHeap, MaxHeap } from "./Heap.js";/* The following definition is for MinHeap.You can use the same methods for MaxHeap.class MinHeap {size(); // return number of elementspeek(); // return top element without removingpush(val); // insert elementpop(); // remove and return top element}*/function kSmallestNumber(lists, k){// Replace this placeholder return statement with your codereturn -1}export {kSmallestNumber}