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
Advanced Algorithms and ComplexityUniversity of California, San Diego via Coursera Advanced Data Structures, RSA and Quantum Algorithms
University of Colorado Boulder via Coursera Advanced Learning Algorithms
DeepLearning.AI via Coursera Advanced Machine Learning Algorithms
Fractal Analytics via Coursera Advanced Modeling for Discrete Optimization
University of Melbourne via Coursera