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.
Offered By
Algorithms, Part II
Princeton UniversityAbout this Course
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- Graphs
- Data Structure
- Algorithms
- Data Compression
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Syllabus - What you will learn from this course
Introduction
Undirected Graphs
Directed Graphs
Minimum Spanning Trees
Shortest Paths
Maximum Flow and Minimum Cut
Radix Sorts
Tries
Substring Search
Reviews
- 5 stars93.92%
- 4 stars5.02%
- 3 stars0.44%
- 2 stars0.27%
- 1 star0.33%
TOP REVIEWS FROM ALGORITHMS, PART II
Another great course and perfect follow-up to Algorithms Part 1. I liked that we used the algorithms built in the first part to make other powerful algorithms and tools.
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.
Excellent course that provides a good introduction to more advanced algorithms that build on those presented in part 1 of the course. Thank you Professor Sedgewick and Kevin Wayne.
I wrote my review on Linkedin. Thank you very much for the great course ! https://www.linkedin.com/pulse/algorithms-part-ii-mission-accomplished-luigi-selmi/
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