Greedy Algorithms

Greedy algorithms are a paradigm for solving optimization problems. The main idea behind a greedy algorithm is to make a sequence of choices, each of which looks the best at the moment. It chooses the optimal solution at every step with the hope that these local optimal choices will lead to a global optimal solution.

📄️ Greedy Algorithms

Greedy algorithms are a class of algorithms that make the optimal choice at each step with the hope of finding the global optimum

📄️ Practice Problems

Practice problems for Greedy Algorithms, categorized by difficulty and topic. These problems help in understanding the practical application of greedy strategies in solving algorithmic challenges.

📄️ Fractional Knapsack

In this post, we'll explore the Fractional Knapsack Problem, a greedy algorithm used to maximize the value of items that can be fit into a knapsack with a weight limit.

📄️ Huffman Coding

In this blog post, we'll explore Huffman Coding, a popular lossless data compression algorithm that assigns variable-length codes to input characters based on their frequencies.

📄️ Job Sequencing

In this blog post, we'll explore the Job Sequencing problem, a classical greedy algorithm that schedules jobs within their deadlines to maximize profit.

📄️ Prim's MST

In this blog post, we'll explore Prim's Algorithm, a greedy algorithm used to find the Minimum Spanning Tree (MST) of a weighted undirected graph.

📄️ Activity Selection

In this blog post, we'll explore the Activity Selection Problem, a classic greedy algorithm used to select the maximum number of activities that don't overlap.

📄️ Commonly asked Greedy questions

This document explores various commonly greedy algorithm patterns, highlighting their definitions, characteristics, and common applications.

📄️ Fractional Knapsack

In this blog post, we'll explore the Fractional Knapsack Problem, a greedy algorithm used to maximize the value of items that can be carried in a knapsack with a weight limit.