Rafael Oliveira
Rafael Oliveira
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Overview
Plan for Lectures
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Final Project
Homework
Homework 1
Homework 2
Homework 3
Solutions
Homework 1 Solutions
Lecture Notes
Lecture 1: Amortized Analysis
Lecture 2: Splay Trees
Lecture 3: Concentration Inequalities
Lecture 4: Balls and Bins
Lecture 5: Hashing
Lecture 6: Graph Sparsification
Lecture 7: Fingerprinting, Polynomial Identities, Matchings, Isolation Lemma
Lecture 8: Sublinear Time Algorithms
Lecture 9: Random Walks, Mixing Time
Lecture 10: Fundamental Theorem of Markov Chains, PageRank
Lecture 11: Linear Programming & Duality Theorems
Lecture 12: Applications of LP Duality
Lecture 13: Linear Programming Relaxations and Rounding
Lecture 14: Positive Semidefinite Matrices & Semidefinite Programming
Lecture 15: Semidefinite Programming, Duality Theorems & SDP Relaxations
Contents
Solutions for CS 466/666 - Spring 2024
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