'Stable matching' presentation slideshows

Matching Markets

2.44k views • 199 slides

Algorithms

1.51k views • 119 slides

The Stable Roommates Problem and Some Extensions David Manlove University of Glasgow

The Stable Roommates Problem and Some Extensions David Manlove University of Glasgow Department of Computing Science. Supported by EPSRC grant GR/M13329 and Nuffield Foundation award NUF-NAL-02. Stable Roommates (SR): definition Input: 2 n persons; each person ranks all 2 n- 1

1.2k views • 102 slides

Geometric Stable Roommates

Geometric Stable Roommates. Valentin Polishchuk Helsinki Institute for Information Technology, University of Helsinki Joint work with Esther Arkin Applied Math and Statistics, Stony Brook University Boris Aronov Computer and Information Science, Polytechnic University

601 views • 45 slides

Prof. Swarat Chaudhuri

COMP 482: Design and Analysis of Algorithms. Prof. Swarat Chaudhuri. Spring 2013. Design. Algorithms. Analysis. What you will learn in this course. How to abstract messy, real-world problems by clean algorithmic problems How to solve those algorithmic problems (design)

544 views • 41 slides

New questions raised by school choice

524 views • 37 slides

Stable Marriage Problem Introductory talk

Stable Marriage Problem Introductory talk. Yosuke KIKUCHI Dept Comp. and Info. Eng. Tsuyama College of Tech OKAYAMA, JAPAN. Contents. Original stable marriage problem Experimental study Scored stable marriage. My lab. member. Stable marriage problem.

531 views • 35 slides

479 views • 32 slides

Oct 2, 2013

Matching. Lirong Xia. Oct 2, 2013. Nobel prize in Economics 2013. "for the theory of stable allocations and the practice of market design.". Alvin E. Roth. Lloyd Shapley. Two-sided one-one matching. Boys. Girls. Wendy. Kyle. Rebecca. Kenny. Stan. Kelly. Eric.

472 views • 31 slides

Incentive compatibility in 2-sided matching markets

479 views • 29 slides

Improved Efficiency for Private Stable Matching

Improved Efficiency for Private Stable Matching. Matthew Franklin, Mark Gondree, and Payman Mohassel University of California, Davis 02/07/07 - Session Code: CRYP-203. Stable Matching. Stable Matching (Marriage): N men, N women, each with their own preference list

402 views • 27 slides

Agenda

389 views • 27 slides

Prof. Swarat Chaudhuri

COMP 482: Design and Analysis of Algorithms. Prof. Swarat Chaudhuri. Spring 2013 Lecture 2. Recap: Stable Matching Problem. Goal. Given n men and n women, find a stable matching. Perfect matching: Everyone is matched monogamously.

357 views • 24 slides

CSE 421 Algorithms

CSE 421 Algorithms. Richard Anderson Winter 2009 Lecture 2. Announcements. Homework due Wednesdays HW 1, Due January 14, 2009 Subscribe to the mailing list Office Hours Richard Anderson, CSE 582 Monday, 3:00-3:50 pm, Thursday, 11:00-11:50 am Aeron Bryce, CSE 216

329 views • 22 slides

The Stable Marriage Problem

The Stable Marriage Problem. Algorithms and Networks. A Prize Winning Algorithm. Lloyd Shapley, Nobel Prize Winner 2012 in economics Obtained the prize for a number of contributions, one being the Gale-Shapley algorithm, discussed today.

726 views • 18 slides

Stable Matching Problems with Constant Length Preference Lists

271 views • 18 slides

CSE 421: Introduction to Algorithms

CSE 421: Introduction to Algorithms. Stable Matching Yin-Tat Lee. Administrativia Stuffs. HW1 is out! It is due Wednesday Apr 04 before class. Please submit to Canvas How to submit ? Submit a separate file for each problem Double check your submission before the deadline!!

185 views • 17 slides

CSE 421 Algorithms

266 views • 14 slides

Jack Edmonds

Jack Edmonds. Jack Edmonds. Stable marriage. Network Algorithms 2005. The stable marriage problem. Story: there are n men and n women, which are unmarried. Each has a preference list on the persons of the opposite sex

301 views • 11 slides

CPSC 320: Intermediate Algorithm Design & Analysis

CPSC 320: Intermediate Algorithm Design & Analysis. Steve Wolfman. Course Learning Goals. Design algorithms for computational problems Techniques for thinking iteratively and recursively Evaluate correctness/performance of algorithms

216 views • 7 slides