The website article lists nine challenging Leetcode problems suitable for practice by individuals aiming to secure software engineering roles at FAANG companies.
Abstract
The article titled "9 Hard Leetcode Problems to Challenge yourself in 2022" provides a curated list of difficult coding problems from Leetcode that are often encountered in technical interviews for FAANG companies. These problems are categorized as 'Hard' and are designed to test a candidate's problem-solving skills using algorithms and data structures. The author emphasizes that mastering these problems is crucial for interview preparation, suggesting that grinding through all 1300 problems on Leetcode is unnecessary. Instead, focusing on these selected problems can be the first step towards securing a job. The list includes tasks such as finding the count of smaller numbers after self, determining the median of two sorted arrays, and solving the word ladder problem, among others. The article also includes links to the problems on Leetcode, enabling readers to practice directly.
Opinions
The author believes that solving these specific hard Leetcode problems is a more efficient way to prepare for coding interviews compared to attempting all problems on the platform.
There is an opinion that the problems listed are representative of the challenges one might face in a FAANG interview.
The article suggests that there is a direct correlation between practicing these problems and improving one's chances of getting a job at a top tech company.
The author implies that understanding the median and how to find it in various scenarios is particularly important, as evidenced by the inclusion of two problems related to medians.
By providing a sequential list of problems, the author seems to advocate for a structured approach to problem-solving and interview preparation.
The inclusion of a problem involving converting integers to English words indicates the author's view that versatility in problem-solving, beyond traditional algorithmic challenges, is also valuable.
9 Hard Leetcode Problems to Challenge yourself in 2022
If you are trying to get into FAANG companies, then there are probably 3–5 technical rounds where you would be asked to solve different problems using Algorithms and Data Structures.
The last few posts in the series were focused on Easy and Medium difficulty Leetcode problems that are prevalently asked in Software Engineer Interviews. The following set of problems are also asked in FAANG interviews, these are tagged as Hard.
I am not asking you to go and grind through all 1300 problems over there to become the best problem solver these companies look for. Instead, I have garnered a list of questions that get you started with this.
You are given an integer array nums and you have to return a new counts array. The counts array has the property where counts[i] is the number of smaller elements to the right of nums[i].
Input: nums = [5,2,6,1]Output: [2,1,1,0]Explanation:
To the right of 5 there are 2 smaller elements (2 and 1).
To the right of 2 there is only 1 smaller element (1).
To the right of 6 there is 1 smaller element (1).
To the right of 1 there is 0 smaller element.
Given n non-negative integers representing an elevation map where the width of each bar is 1, compute how much water it can trap after raining.
Input: height = [0,1,0,2,1,0,1,3,2,1,2,1]
Output: 6
Explanation: The above elevation map (black section) is represented by array [0,1,0,2,1,0,1,3,2,1,2,1]. In this case, 6 units of rain water (blue section) are being trapped.
A transformation sequence from word beginWord to word endWord using a dictionary wordList is a sequence of words beginWord -> s1 -> s2 -> ... -> sk such that:
Every adjacent pair of words differs by a single letter.
Every si for 1 <= i <= k is in wordList. Note that beginWord does not need to be in wordList.
sk == endWord
Given two words, beginWord and endWord, and a dictionary wordList, return the number of words in the shortest transformation sequence frombeginWordtoendWord, or 0 if no such sequence exists.
Input: beginWord = "hit", endWord = "cog", wordList = ["hot","dot","dog","lot","log","cog"]
Output: 5
Explanation: One shortest transformation sequence is"hit" -> "hot" -> "dot" -> "dog" -> cog", which is 5 words long.
Given the root of a binary search tree, a target value, and an integer k, return the k values in the BST that are closest to thetarget. You may return the answer in any order.
You are guaranteed to have only one unique set of k values in the BST that are closest to the target.
The median is the middle value in an ordered integer list. If the size of the list is even, there is no middle value and the median is the mean of the two middle values.
For example, for arr = [2,3,4], the median is 3.
For example, for arr = [2,3], the median is (2 + 3) / 2 = 2.5.
Implement the MedianFinder class:
MedianFinder() initializes the MedianFinder object.
void addNum(int num) adds the integer num from the data stream to the data structure.
double findMedian() returns the median of all elements so far. Answers within 10-5 of the actual answer will be accepted.