随机算法课程笔记

Randomized Algorithms · 2025 Spring

Pr[X > a] ≤ E[X]/a

Lecture 25

2025 / 5 / 22
Graph Colorings Algorithmic LLL

Lecture 24

2025 / 5 / 19
Mixing Time Coupling

Lecture 23

2025 / 5 / 15
Markov Chains Stationary Distribution Metropolis Process

Lecture 22

2025 / 5 / 12
Packet Routing Asymmetric LLL Frugal Graph Coloring

Lecture 21

2025 / 5 / 8
Lovász Local Lemma

Lecture 20

2025 / 4 / 28
Percolation on d-Regular Graphs

Lecture 19

2025 / 4 / 24
Ballot Submartingale Random 2-SAT

Lecture 18

2025 / 4 / 21
Quick Sort Optional Stopping Theorem Gambler's Ruin

Lecture 17

2025 / 4 / 17
Martingale Azuma Inequality Doob Martingale

Lecture 16

2025 / 4 / 14
Johnson & Lindenstrauss Lemma Embedding into lp metrics

Lecture 15

2025 / 4 / 10
Giant Component (2)

Lecture 14

2025 / 4 / 7
Giant Component (1)

Lecture 13

2025 / 3 / 31
Power of 2 Choices (2) Galton-Watson Branching Process

Lecture 12

2025 / 3 / 27
Balls and Bins (2) Power of 2 Choices (1)

Lecture 11

2025 / 3 / 24
Hamilton Cycles (2) Balls and Bins (1)

Lecture 10

2025 / 3 / 20
Randomized Routing Hamilton Cycles (1)

Lecture 9

2025 / 3 / 17
Network Reliability (2) Chernoff Bounds

Lecture 8

2025 / 3 / 13
DNF Counting Network Reliability (1)

Lecture 7

2025 / 3 / 10
Double Hashing Buffon's Needle Median Trick

Lecture 6

2025 / 3 / 6
Pairwise Independence Probability Amplification Derandomization Universal Hashing

Lecture 5

2025 / 3 / 3
Monotone Circuits Majority Function

Lecture 4

2025 / 2 / 27
Unbalancing Lights Large Girth and Chromatic Number MAX3SAT 4-Cliques

Lecture 3

2025 / 2 / 24
Primality Probabilistic Method Independent Set Crossing Number

Lecture 2

2025 / 2 / 20
Bipartite Matching Perfect Matching in Parallel Fingerprinting

Lecture 1

2025 / 2 / 17
Matrix Multiplication Associativity Polynomial Identities