--- title: Algorithm Design Techniques description: This topic covers systematic methods for solving computational problems, such as recursion, backtracking, and heuristics. Learners will understand how to analyze problem requirements and select or design efficient algorithmic strategies to solve them. category: programming-tech subcategory: algorithms-and-data-structures difficulty: beginner, intermediate, advanced url: /subject/algorithm-design-techniques --- # Algorithm Design Techniques This topic covers systematic methods for solving computational problems, such as recursion, backtracking, and heuristics. Learners will understand how to analyze problem requirements and select or design efficient algorithmic strategies to solve them. ## Available Resources 1 Videos • 1 Books • 4 Courses • 3 Websites ## Websites ### 1. USACO Guide Free, community-maintained curriculum for the USA Computing Olympiad, organized from Bronze to Platinum with explanations, code in C++, Java, and Python, and curated practice problems. Learners build skill in greedy algorithms, binary search, dynamic programming, graph algorithms, and data structures for contest problem solving. **Difficulty:** Beginner | **Price:** Free **Link:** https://usaco.guide/ **Tags:** competitive-programming, algorithms, dynamic-programming, graph-algorithms, usaco ### 2. cp-algorithms.com Open-source translation of the Russian e-maxx algorithm compendium, with articles on number theory, combinatorics, graph algorithms, string processing, and geometry. Each entry pairs a derivation with tested C++ code you can adapt for contest problems. **Difficulty:** Intermediate | **Language:** English | **Price:** Free **Link:** https://cp-algorithms.com **Tags:** websites, technology-computer-science, computer-sciences ### 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 ## Videos ### 1. Dynamic Programming Introduction Erik Demaine's lecture from MIT 6.006 Introduction to Algorithms (Fall 2011) introducing dynamic programming through Fibonacci numbers and shortest paths. Viewers learn to define subproblems, apply memoization, convert recursion to bottom-up computation, and reason about running time via the subproblem DAG. **Difficulty:** Beginner | **Price:** Free **Link:** https://www.youtube.com/watch?v=OQ5jsbhAv_M **Tags:** dynamic-programming, memoization, shortest-paths, algorithms, mit-6.006 ## Courses ### 1. Design and Analysis of Algorithms (MIT 6.046J) **Author:** Erik Demaine, Srini Devadas, Nancy Lynch Intermediate algorithms after 6.006: divide-and-conquer, randomization, dynamic programming, greedy algorithms, network flow, amortization, complexity and cryptography. 39 lecture videos, notes, problem sets and exams with solutions train learners to design efficient algorithms and prove their correctness and running time. **Difficulty:** Intermediate | **Price:** Free **Link:** https://ocw.mit.edu/courses/6-046j-design-and-analysis-of-algorithms-spring-2015/ **Tags:** algorithm-design, dynamic-programming, randomized-algorithms, greedy-algorithms, network-flow, complexity-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 ### 4. Advanced Algorithm Design 算法设计与分析(高级)”是在掌握了算法基本设计技术的基础上，进一步提高的算法课程。本课程重点介绍线性规划、网络流算法、计算复杂性理论、近似算法、随机算法及其应用。 **Difficulty:** Intermediate | **Language:** English | **Price:** Free **Link:** https://www.edx.org/learn/algorithms/peking-university-suan-fa-she-ji-yu-fen-xi-gao-ji-advanced-design-and-analysis-of-algorithms **Tags:** courses, technology-computer-science, algorithms ## Books ### 1. Programming Pearls **Author:** Jon Bentley Jon Bentley's essays, expanded from his Communications of the ACM column, built around real programming problems. Readers learn problem definition, algorithm design, back-of-the-envelope estimation, program verification, and performance tuning through compact, carefully reasoned examples. **Difficulty:** Intermediate | **Language:** English | **Price:** Paid **Link:** https://www.amazon.com/dp/0201103311?tag=edmonddante07-20 **Tags:** algorithm-design, performance-tuning, back-of-the-envelope-estimation, program-verification --- *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/algorithm-design-techniques