This course teaches techniques for the design and analysis of efficient algorithms, emphasizing methods useful in practice. Topics covered include: sorting; search trees, heaps, and hashing; divide-and-conquer; dynamic programming; amortized analysis; graph algorithms; shortest paths; network flow; computational geometry; number-theoretic algorithms; polynomial and matrix calculations; caching; and parallel computing.
- Home
- Top Charts
- Top Networks
- Top Apps
- Top Independents
- Top Podfluencers
- Top Picks
- Top Business Podcasts
- Top True Crime Podcasts
- Top Finance Podcasts
- Top Comedy Podcasts
- Top Music Podcasts
- Top Womens Podcasts
- Top Kids Podcasts
- Top Sports Podcasts
- Top News Podcasts
- Top Tech Podcasts
- Top Crypto Podcasts
- Top Entrepreneurial Podcasts
- Top Fantasy Sports Podcasts
- Top Political Podcasts
- Top Science Podcasts
- Top Self Help Podcasts
- Top Sports Betting Podcasts
- Top Stocks Podcasts
- Podcast News
- About Us
- Podcast Advertising
- Contact