Lecture 3 CSE 331 Sep 2, 2016.

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Lecture 3 CSE 331 Sep 2, 2016

Read the syllabus CAREFULLY! I’ll need confirmation in writing. No graded material will be handed back till I get this signed form from you!

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Main Steps in Algorithm Design Problem Statement Real world problem Problem Definition Precise mathematical def Algorithm “Implementation” Data Structures Analysis Correctness/Run time

National Resident Matching

(Screen) Docs are coming to BUF Buffalo General Hawkeye (M*A*S*H) Millard Filmore (Gates Circle) JD (Scrubs) Millard Filmore (Suburban)

What can go wrong?

The situation is unstable!

What happens in real life Preferences Information Preferences

NRMP plays matchmaker

Stable Matching Problem David Gale Lloyd Shapley

Questions/Comments?

Matching Employers & Applicants Input: Set of employers (E) Set of applicants (A) Preferences Output: An assignment of applicants to employers that is “stable” For every x in A and y in E such that x is not assigned to y, either (i) y prefers every accepted applicant to x; or (ii) x prefers her employer to y

Simplicity is good http://xkcd.com/353/

Questions to think about 1) How do we specify preferences? Preference lists 2) Ratio of applicant vs employers 1:1 3) Formally what is an assignment? (perfect) matching 4) Can an employer get assigned > 1 applicant? NO 5) Can an applicant have > 1 job? 6) How many employer/applicants in an applicants/employers preferences? All of them 7) Can an employer have 0 assigned applicants? NO 8) Can an applicant have 0 jobs?

Questions/Comments?

Non-feminist reformulation n men Each with a preference list n women Match/marry them in a “stable” way

On matchings Mal Wash Simon Inara Zoe Kaylee

A valid matching Mal Wash Simon Inara Zoe Kaylee

Not a matching Mal Wash Simon Inara Zoe Kaylee

Perfect Matching Mal Wash Simon Inara Zoe Kaylee

Preferences Mal Wash Simon Inara Zoe Kaylee

Instability Mal Wash Simon Inara Zoe Kaylee

Questions/Comments?

Discuss: Naïve algorithm!

The naïve algorithm Go through all possible perfect matchings S n! matchings If S is a stable matching then Stop Else move to the next perfect matching

Gale-Shapley Algorithm David Gale Lloyd Shapley O(n3) algorithm

Moral of the story… >