--- title: Greedy Algorithms description: This algorithmic approach builds up a solution piece by piece, always choosing the next option that offers the most immediate benefit. Learners will understand when this heuristic yields optimal solutions and how to apply it to scheduling and optimization problems. category: programming-tech subcategory: algorithms-and-data-structures difficulty: beginner, intermediate, advanced url: /subject/greedy-algorithms --- # Greedy Algorithms This algorithmic approach builds up a solution piece by piece, always choosing the next option that offers the most immediate benefit. Learners will understand when this heuristic yields optimal solutions and how to apply it to scheduling and optimization problems. ## Available Resources 1 Books • 3 Courses • 3 Websites ## Websites ### 1. GeeksforGeeks - Greedy Algorithms Tutorials, problems, and explanations **Difficulty:** Beginner | **Price:** Free **Link:** https://www.geeksforgeeks.org/greedy-algorithms/ ### 2. visualgo.net Visualgo.net is an interactive visualization platform for learning data structures and algorithms, offering animated, step-by-step demonstrations of core structures (arrays, lists, stacks, queues, trees, graphs) and algorithms with explanations. **Difficulty:** Intermediate | **Language:** English | **Price:** Free **Link:** https://visualgo.net **Tags:** websites, technology-computer-science, algorithms ### 3. LeetCode Online judge with thousands of algorithm and data-structure problems sorted by difficulty, topic and company, plus timed contests, discussion threads and study plans. Regular practice builds fluency with common interview problem patterns and writing correct, efficient code under time pressure. **Difficulty:** Intermediate | **Language:** English | **Price:** Free **Link:** https://leetcode.com **Tags:** coding-interviews, algorithm-practice, data-structures, online-judge, problem-patterns ## Courses ### 1. Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming The primary topics in this part of the specialization are: greedy algorithms (scheduling, minimum spanning trees, clustering, Huffman codes) and dynamic programming (knapsack, sequence alignment, optimal search trees). **Difficulty:** Intermediate | **Price:** Free **Link:** https://www.coursera.org/learn/algorithms-greedy **Tags:** greedy-algorithms, minimum-spanning-trees, dynamic-programming, huffman-coding, algorithm-analysis ### 2. Algorithms, Part I This course covers the essential information that every serious programmer needs to know about algorithms and data structures, with emphasis on applications and scientific performance analysis of Java implementations. Part I covers elementary data structures, sorting, and searching algorithms. Part II focuses on graph- and string-processing algorithms. All the features of this course are available for free. People who are interested in digging deeper into the content may wish to obtain the textbook Algorithms, Fourth Edition (upon which the course is based) or visit the website algs4.cs.princeton.edu for a wealth of additional material. This course does not offer a certificate upon completion. **Difficulty:** Beginner | **Language:** English | **Duration:** 6 weeks of study, 6–10 hours per week. | **Price:** Free **Link:** https://www.coursera.org/learn/algorithms-part1 **Tags:** courses, technology-computer-science, algorithms ### 3. Algorithms, Part II This course covers the essential information that every serious programmer needs to know about algorithms and data structures, with emphasis on applications and scientific performance analysis of Java implementations. Part I covers elementary data structures, sorting, and searching algorithms. Part II focuses on graph- and string-processing algorithms. All the features of this course are available for free. People who are interested in digging deeper into the content may wish to obtain the textbook Algorithms, Fourth Edition (upon which the course is based) or visit the website algs4.cs.princeton.edu for a wealth of additional material. This course does not offer a certificate upon completion. **Difficulty:** Beginner | **Language:** English | **Duration:** 6 weeks of study, 6–10 hours per week. | **Price:** Free **Link:** https://www.coursera.org/learn/algorithms-part2 **Tags:** courses, technology-computer-science, algorithms ## Books ### 1. The Algorithm Design Manual **Author:** Steven S. Skiena Practical guide to designing algorithms, split between technique chapters (data structures, sorting, graph algorithms, dynamic programming, heuristics, intractability) and a catalog of 75 classic problems. Readers learn to recognize a problem's type and choose a workable algorithm or implementation. **Difficulty:** Intermediate | **Language:** English | **Price:** Paid **Link:** https://www.amazon.com/dp/7302207275?tag=edmonddante07-20 **Tags:** books, technology-computer-science, algorithms --- *This content is part of Dantes.io - Your Treasure Map to Knowledge* *Curated by humans at Dantes.io. Personal study use welcome; republishing this curation requires permission (team@dantes.io).* View this page online: https://dantes.io/subject/greedy-algorithms