Algorithms: Design and Analysis, Part 2
Offered By: Stanford University via Stanford OpenEdx
Course Description
Overview
Dive into advanced algorithm design and analysis techniques in this Stanford University course. Explore topics like dynamic programming, linear programming, NP-completeness, and approximation algorithms over 4 hours of weekly study. Enhance your problem-solving skills and gain a deeper understanding of complex algorithmic concepts essential for tackling real-world computational challenges.
Taught by
Tim Roughgarden
Tags
Related Courses
Algorithms: Design and Analysis, Part 2Stanford University via Coursera Discrete Optimization
University of Melbourne via Coursera Conception et mise en œuvre d'algorithmes.
École Polytechnique via Coursera Computability, Complexity & Algorithms
Georgia Institute of Technology via Udacity Discrete Inference and Learning in Artificial Vision
École Centrale Paris via Coursera