Analysis of Algorithms
Skills:
Algorithm Basics90%
Key Takeaways
Analyzes algorithms using calculus, generating functions, and real asymptotics
Original Description
This course teaches a calculus that enables precise quantitative predictions of large combinatorial structures. In addition, this course covers generating functions and real asymptotics and then introduces the symbolic method in the context of applications in the analysis of algorithms and basic structures such as permutations, trees, strings, words, and mappings.
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 Analysis of Algorithms, Second Edition (upon which the course is based) or to visit the website aofa.cs.princeton.edu for a wealth of additional material.
This course does not offer a certificate upon completion.
Watch on External: Coursera ↗
(saves to browser)
Sign in to unlock AI tutor explanation · ⚡30
More on: Algorithm Basics
View skill →Related Reads
📰
📰
📰
📰
When Should AI Teams Replace a Model in Production?
Dev.to · Ye Allen
Stop Writing Python Classes Until You Learn The 4 Things You Can Do To Every Piece Of Data An…
Medium · Programming
Top 10 AI Evaluation Interview Questions and Answers
Medium · Machine Learning
We took highlight detection from 0.56 to 0.86 — with zero new footage and zero cloud training
Dev.to AI
🎓
Tutor Explanation
DeepCamp AI