8 docs tagged with "algorithms"

In this blog post, we'll dive into the binary search algorithm, a fundamental technique in computer science for efficiently finding an element in a sorted array.

Data Structures and Algorithms are the building blocks of computer science. They are the tools you'll use to build software systems. This section is a collection of resources to help you understand and master Data Structures and Algorithms.

Understanding the differences between recursion and iteration is crucial for selecting the appropriate approach for solving various problems in data structures and algorithms. This guide highlights the key differences, advantages, and use cases of both recursion and iteration.

In this blog post, we'll explore the iterative binary search algorithm, a fundamental technique in computer science for efficiently finding an element in a sorted array. You'll learn what iterative binary search is, how it works, and its time complexity. We'll also cover practical applications and common problems you can solve using this algorithm. By the end, you'll have a thorough understanding of iterative binary search and how to implement it in your programming projects.

Master Theorem for solving divide and conquer recurrences. Explained with examples.

Recursion is a programming technique where a function calls itself directly or indirectly to solve a problem. It is used in various applications such as solving mathematical problems, implementing data structures, and more.

A collection of 20 Leetcode questions focused on recursion, categorized into easy, medium, and hard levels.

In this blog post, we'll explore the recursive binary search algorithm, a fundamental technique in computer science for efficiently finding an element in a sorted array. You'll learn what recursive binary search is, how it works, and its time complexity. We'll also cover practical applications and common problems you can solve using this algorithm. By the end, you'll have a thorough understanding of recursive binary search and how to implement it in your programming projects.