Monday
November 2
4:00 - 4:50 PM 
Kelley 1001 [map]
<http://oregonstate.edu/cw_tools/campusmap/?&offsetX=1576&offsetY=526&po
int=?298,111> 

 

 

Glencora Borradaile 
Assistant Professor
School of Electrical Engineering and Computer Science 
Oregon State University

How to plan a party: algorithms for graph-constrained knapsack problems 

Suppose you are planning a party, but you can only invite 20 people,
(caviar is expensive). You can't invite more than 20 people, but you
want to maximize the number (or perhaps worth) of people that will show
up. But an attendee will only come to your party if one of their friends
is also attending. How do you find a set of friends to invite? More
specifically, we are given a knapsack of capacity K and a graph
representing constraints (i.e. friendships) between the nodes; each node
has a weight and a profit. The goal is to find a maximum-profit set of
nodes of total weight at most K such that if node x is selected, then a
neighbour of x is also selected. It turns out that this knapsack problem
models several interesting problems (albeit less important than party
planning) such as: network formation, tool magazine management, database
storage and strategical investing. In this talk I will take you on a
tour of greedy algorithms, approximation guarantees and hardness of
approximation in solving the graph-constrained knapsack problem. 

Biography

Glencora Borradaile is an Assistant Professor in the School of
Electrical Engineering and Computer Science at Oregon State University.
She has a Ph.D. in Computer Science from Brown University (2008), after
which she did postdoctoral research at the University of Waterloo. She
enjoys designing algorithms that work in some provable way (quickly,
accurately) and is motivated by problems in routing, network design, and
graph optimization.

 

 

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