Approximate Greedy Algorithm for NP Complete
Greedy Algorithms
Greedy algorithms are a class of algorithms that make locally optimal choices at each step with the hope of finding a global optimum solution. In these algorithms, decisions are made based on the information available at the current moment without considering the consequences of these decisions in the future. The key idea is to select the best possible choice at each step, leading to a solution that may not always be the most optimal but is often good enough for many problems.
In this article, we will understand greedy algorithms with examples. We will also look at problems and their solutions using the greedy approach.
Table of Content
- What is Greedy Algorithm?
- Steps for Creating a Greedy Algorithm
- Greedy Algorithm Examples
- Applications of Greedy Algorithm
- Disadvantages/Limitations of Using a Greedy Algorithm
- Basics of Greedy Algorithm
- Standard Greedy Algorithms
- Greedy Problems on Array
- Greedy Problems on Operating System
- Greedy Problems on Graph
- Approximate Greedy Algorithm for NP Complete
- Greedy for Special cases of DP
- Easy Problems on Greedy Algorithm
- Medium Problems on Greedy Algorithm
- Hard Problems on Greedy Algorithm