随机算法 (Fall 2011): Difference between revisions
Jump to navigation
Jump to search
Line 17: | Line 17: | ||
#* [[随机算法 (Fall 2011)/Stable Marriage|Stable Marriage]] | #* [[随机算法 (Fall 2011)/Stable Marriage|Stable Marriage]] | ||
# Hashing and Fingerprinting | # Hashing and Fingerprinting | ||
# Moment and Deviation | |||
#* [[随机算法 (Fall 2011)/Chebyshev's Inequality|Chebyshev's Inequality]] | |||
#* [[随机算法 (Fall 2011)/Median Selection|Median Selection]] | |||
#* [[随机算法 (Fall 2011)/Random Graphs|Random Graphs]] | |||
#* [[随机算法 (Fall 2011)/Chernoff Bound|Chernoff Bound]] | |||
#* [[随机算法 (Fall 2011)/Set Balancing|Set Balancing]] | |||
# Concentration of Measure | |||
#* [[随机算法 (Fall 2011)/Routing in a Parallel Network|Routing in a Parallel Network]] | |||
#* [[随机算法 (Fall 2011)/Martingales|Martingales]] | |||
#* [[随机算法 (Fall 2011)/The Method of Bounded Differences|The Method of Bounded Differences]] | |||
# Dimension Reduction | |||
#* [[随机算法 (Fall 2011)/Johnson-Lindenstrauss Lemma|Johnson-Lindenstrauss Lemma]] | |||
#* [[随机算法 (Fall 2011)/Locality Sensitive Hashing|Locality Sensitive Hashing]] | |||
# The Probabilistic Method | |||
#* [[随机算法 (Fall 2011)/The Probabilistic Method|The Probabilistic Method]] | |||
#* [[随机算法 (Fall 2011)/Lovász Local Lemma|Lovász Local Lemma]] | |||
#* [[随机算法 (Fall 2011)/Derandomization: Conditional Expectation|Derandomization: Conditional Expectation]] | |||
# Approximation Algorithms | |||
#* [[随机算法 (Fall 2011)/Randomized Rounding|Randomized Rounding]] | |||
# Markov Chain and Random Walk | |||
# Random Walk Algorithms | |||
# Coupling and Mixing Time | |||
# Expander Graphs | |||
# Sampling and Counting | |||
# MCMC | |||
# On-line Algorithms | |||
# Complexity | |||
# Horizon | |||
# [[随机算法 (Fall 2011)/Rapid mixing random walks | Rapid mixing random walks]] | # [[随机算法 (Fall 2011)/Rapid mixing random walks | Rapid mixing random walks]] | ||
Revision as of 16:07, 18 July 2011
Lecture Notes
- Introduction
- Probability basics
- Balls and bins
- Hashing and Fingerprinting
- Moment and Deviation
- Concentration of Measure
- Dimension Reduction
- The Probabilistic Method
- Approximation Algorithms
- Markov Chain and Random Walk
- Random Walk Algorithms
- Coupling and Mixing Time
- Expander Graphs
- Sampling and Counting
- MCMC
- On-line Algorithms
- Complexity
- Horizon