Randomized Algorithms
This webpage provides textbooks, lectures and assignments of this course.
Textbooks
- Randomized Algorithms. Motwani, R. and Raghavan, P., Cambridge University Press, 1995.
[cover]
- Probability and Computing: Randomization and Probabilistic Techniques in Algorithms and Data Analysis. Second Edition.
M. Mitzenmacher and E. Upfal, Cambridge University Press, 2017.
[cover]
Grading policy
- Attendance (10%)
- Assignments (30%)
- Midterm Presnetation/Report (30%)
- Final Paper Presentation (30%)
Lectures and assignments
- Introduction & the Min-Cut Problem
[slides]
- Discrete Random Variables and Expectations
[slides]
- Randomized QuickSort & k-Smallest Number Selection
[slides]
- Complexities
[slides]
- Minimax Principles
[slides]
- Coupon Collector's Problem and Conditional Expectation
[slides]
- The Secretary Problem
[slides]
- Moments and Deviations
[slides]
- Chernoff & Hoeffding Bounds
[slides]
- Balls and Bins
[slides]
- Markov Chains and Random Walks
[slides]
- Continuous Distributions and the Poisson Process
[slides]
- Other Selected Topics
Please feel free to use the slides as long as giving appropriate credit to the author!
Any question is welcome.
Please contact Joseph, Chuang-Chieh Lin (Email to:
josephcclin_AT_gms_tku_edu_tw)
© 2004 Joseph Chuang-Chieh Lin