Algorithms in Action
Haim Kaplan and Uri Zwick
Spring Semester 2016.

Final grade = 80% * exam grade + 20% * homework grade
Homework grade = Average of 5 homework assignments.

Introduction	Presentation (pptx)
Fast Fourier Transform Integer and Polynomial Multiplication String Matching	Presentation (pptx)	Homework 1 (pdf) Solution (pdf)
Local Search MAX CUT, Min Bisection Image Segmentation	Part1 (pptx) Part2 (pptx)	Local Search - Bibliography (pdf)
Clustering k-center, k-median, k-means	Presentation (pptx)	Clustering - Bibliography (pdf) Homework 2 (pdf) Solution (pdf) Bonus solution (pdf)
Markov Chain Monte Carlo	Part1 (pptx) Part2 (pptx)	Homework 3 (pdf) Solution (pdf)
Multiplicative Weight Updates Predicting using expert advice Learning a linear classifier Approximately solving 0-sum games Maximum Multicommodity flow problems	Presentation (pptx)	Homework 4 (pdf) Solution (pdf)
SAT Solving Conflict Driven Clause Learning (CDCL) Randomized algorithms	Part1 (pptx) Part2 (pptx)	Homework 5 (pdf) Solution (pdf)
MAX-CUT using Semidefinite Programming	Presentation (pptx)

Lecture Summaries by Arazim Project

Homework grades

Sample Exam (pdf)