MS&E 319: Matching Theory, Spring 2019

Instructor: Amin Saberi
TA: Ali Shameli
Location: Lane History Corner 200-219, Mondays 10:30-13:20
Office Hours: Huang B016, Mondays 16:00-17:00
Course description:
The theory of matching with its roots in the work of mathematical giants like Euler and Kirchhoff has played a central and catalytic role in combinatorial optimization for decades. More recently, the growth of online marketplaces for allocating advertisements, rides, or other goods and services has led to new interest and progress in this area. The course starts with classic results characterizing matchings in bipartite and general graphs and explores connections with algebraic graph theory and discrete probability. Those results are complemented with models and algorithms developed for modern applications in market design, online advertising, and ride sharing.

Reading material:
Lecture notes or link to papers & surveys will be available on the class webpage. The following textbook is recommended:
Grading:
There will be 3 homework assignments of 20% each and a research project of 50%.

Lectures:
Sample file for scribes

Homework: