Algorithms, 4th edition
1. Fundamentals
1.1 Programming Model
1.2 Data Abstraction
1.3 Stacks and Queues
1.4 Analysis of Algorithms
1.5 Case Study: Union-Find
2. Sorting
2.1 Elementary Sorts
2.2 Mergesort
2.3 Quicksort
2.4 Priority Queues
2.5 Sorting Applications
3. Searching
3.1 Symbol Tables
3.2 Binary Search Trees
3.3 Balanced Search Trees
3.4 Hash Tables
3.5 Searching Applications
4. Graphs
4.1 Undirected Graphs
4.2 Directed Graphs
4.3 Minimum Spanning Trees
4.4 Shortest Paths
5. Strings
5.1 String Sorts
5.2 Tries
5.3 Substring Search
5.4 Regular Expressions
5.5 Data Compression
6. Context
6.1 Event-Driven Simulation
6.2 B-trees
6.3 Suffix Arrays
6.4 Maxflow
6.5 Reductions
6.6 Intractability
Related Booksites
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Code
Errata
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References
Coursera MOOCs
Algorithms, Part I
Algorithms, Part II
Certificate Courses
Algorithms, Part I
Algorithms, Part II
Online Course
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