Category Java-DSA

Day 27: Greedy Algorithms – Optimal Solutions with Simple Approaches Greedy algorithms are designed to make the optimal choice at each step, aiming for an overall optimal solution. Activity Selection Problem (Greedy Approach) javaCopy codeimport java.util.*; public class ActivitySelection {…

Day 26: Common Dynamic Programming Problems – Step-by-Step Solutions Let’s explore two classic dynamic programming problems: Coin Change and Longest Increasing Subsequence (LIS). 1. Coin Change Problem The goal is to find the minimum number of coins required to make…

Day 25: Introduction to Dynamic Programming – Understanding DP Concepts Dynamic Programming (DP) is a technique used to solve problems by breaking them down into smaller subproblems and storing the results of these subproblems to avoid redundant calculations. Fibonacci Sequence…

Day 24: Graph Traversal Algorithms – Mastering DFS and BFS with Real-World Examples Graph traversal is the process of visiting all nodes in a graph. The two main algorithms for traversal are Depth-First Search (DFS) and Breadth-First Search (BFS). 1.…

Day 23: Introduction to Graphs and Their Properties – Types and Representations Explained Graphs are one of the fundamental data structures in computer science. Understanding graphs and their properties is essential for tackling problems in areas such as networking, social…

Day 22: Understanding Backtracking: A Comprehensive Guide Introduction to Backtracking Backtracking is a powerful algorithmic technique used for solving complex problems by building candidates for solutions incrementally and abandoning those candidates as soon as it is determined they cannot lead…

Day 21: Review and Practice As we wrap up our exploration of sorting and searching algorithms, it’s essential to consolidate our understanding and practice what we’ve learned. In this post, we’ll recap the key concepts from our previous discussions on…

Day 20: Recursion Recursion is a powerful programming technique that allows a function to call itself in order to solve a problem. It is widely used in algorithms and data structures, providing elegant solutions to complex problems. In this post,…

Day 19: Searching Algorithms – Linear and Binary Search Searching algorithms are essential in computer science, enabling us to find specific elements within data structures efficiently. In this post, we will explore two fundamental searching algorithms: Linear Search and Binary…

Day 18: Quick Sort Quick Sort is one of the most efficient and widely used sorting algorithms in computer science. Its efficiency and performance make it a favorite among developers. In this post, we’ll explore the Quick Sort algorithm, provide…