How to do binary search for leetcode

ðŸ’»Technology

00:00:05 - 00:00:08

00:00:21 - 00:00:24

00:00:58 - 00:01:02

00:01:28 - 00:01:31

00:01:59 - 00:02:03

00:02:21 - 00:02:24

https://leetcode.com/discuss/study-...

https://leetcode.com/discuss/study-...

https://www.reddit.com/r/leetcode/c...

https://leetcode.com/discuss/genera...

https://leetcode.com/problems/binar...

Background Music: "SPACE" prod. Metzmusic

Welcome to this in-depth video on binary search, a fundamental algorithm in computer science. We'll explore how it works, its applications, and how to master it for LeetCode problems.

Binary search is a divide-and-conquer algorithm that efficiently finds an element in a sorted array. It works by repeatedly dividing the search interval in half, eliminating half of the search space at each step.

Let's dive into the basic binary search algorithm. It involves a few key steps.

We initialize two pointers, 'left' and 'right', to the start and end of the array. Then, we enter a loop that continues as long as 'left' is less than or equal to 'right'. In each iteration, we calculate the midpoint 'mid' and compare the element at 'mid' with the target element. If they match, we've found our target and return the index. If the target is less than the element at 'mid', we update 'right' to 'mid - 1'. Otherwise, we update 'left' to 'mid + 1'. This process continues until 'left' becomes greater than 'right', indicating the target is not present.

While the basic binary search is useful, it can be modified to solve more complex problems. Let's explore some common variations.

One variation is finding the leftmost or rightmost occurrence of an element. Instead of returning the first index where the target is found, we can modify the algorithm to return the leftmost or rightmost index.

Another variation is searching in a rotated sorted array. Here, the array is sorted but has been rotated, making the basic binary search algorithm ineffective. We need to modify the algorithm to handle the rotation.

Now, let's discuss some tips to help you master binary search on LeetCode.

Practice, practice, practice! The key to mastering binary search is to solve various types of problems. This will develop your intuition and pattern recognition.

Use a generic template for binary search. This will help you quickly implement the algorithm and focus on the specific problem at hand.

"Binary search is super easy to learn but unbelievably hard to master. Just practice more and more problems, you'll learn more paradigms." - Reddit user, 2023

Let's look at some examples of binary search problems on LeetCode.

The classic 'Binary Search' problem involves finding an element in a sorted array.

The 'Median of Two Sorted Arrays' problem involves finding the median of two sorted arrays using binary search.

The 'Search in Rotated Sorted Array' problem involves searching for an element in a rotated sorted array using binary search.

In conclusion, binary search is a powerful algorithm with wide applications in computer science, particularly on platforms like LeetCode. By understanding its fundamentals, practicing different variations, and learning from others, you can master this essential algorithm and enhance your problem-solving skills.

Binary search is a divide-and-conquer algorithm that efficiently finds an element in a sorted array. It works by repeatedly dividing the search interval in half, eliminating half of the search space at each step.

Let's dive into the basic binary search algorithm. It involves a few key steps.

We initialize two pointers, 'left' and 'right', to the start and end of the array. Then, we enter a loop that continues as long as 'left' is less than or equal to 'right'. In each iteration, we calculate the midpoint 'mid' and compare the element at 'mid' with the target element. If they match, we've found our target and return the index. If the target is less than the element at 'mid', we update 'right' to 'mid - 1'. Otherwise, we update 'left' to 'mid + 1'. This process continues until 'left' becomes greater than 'right', indicating the target is not present.

While the basic binary search is useful, it can be modified to solve more complex problems. Let's explore some common variations.

One variation is finding the leftmost or rightmost occurrence of an element. Instead of returning the first index where the target is found, we can modify the algorithm to return the leftmost or rightmost index.

Another variation is searching in a rotated sorted array. Here, the array is sorted but has been rotated, making the basic binary search algorithm ineffective. We need to modify the algorithm to handle the rotation.

Now, let's discuss some tips to help you master binary search on LeetCode.

Practice, practice, practice! The key to mastering binary search is to solve various types of problems. This will develop your intuition and pattern recognition.

Use a generic template for binary search. This will help you quickly implement the algorithm and focus on the specific problem at hand.

"Binary search is super easy to learn but unbelievably hard to master. Just practice more and more problems, you'll learn more paradigms." - Reddit user, 2023

Let's look at some examples of binary search problems on LeetCode.

The classic 'Binary Search' problem involves finding an element in a sorted array.

The 'Median of Two Sorted Arrays' problem involves finding the median of two sorted arrays using binary search.

The 'Search in Rotated Sorted Array' problem involves searching for an element in a rotated sorted array using binary search.

In conclusion, binary search is a powerful algorithm with wide applications in computer science, particularly on platforms like LeetCode. By understanding its fundamentals, practicing different variations, and learning from others, you can master this essential algorithm and enhance your problem-solving skills.