Title:
The Paulsen problem, continuous operator scaling, and smoothed analysis

dc.contributor.author Lau, Lap Chi
dc.contributor.corporatename Georgia Institute of Technology. Algorithms, Randomness and Complexity Center en_US
dc.contributor.corporatename University of Waterloo. School of Computer Science en_US
dc.date.accessioned 2018-10-29T20:13:04Z
dc.date.available 2018-10-29T20:13:04Z
dc.date.issued 2018-10-15
dc.description Presented on October 15, 2018 at 11:00 a.m. in the Klaus Advanced Computing Building, Room 1116E. en_US
dc.description Lap Chi Lau is an Associate Professor of Computer Science at the University of Waterloo. His research interests are in algorithmic graph theory, approximation algorithms and combinatorial optimization. en_US
dc.description Runtime: 60:19 minutes en_US
dc.description.abstract The Paulsen problem is a basic open problem in operator theory. We define a continuous version of the operator scaling algorithm to solve this problem. A key step is to show that the continuous operator scaling algorithm converges faster in a perturbed input. To this end, we develop some new techniques in lower bounding the operator capacity, a concept introduced by Gurvits to analyze the operator scaling algorithm. The talk will be self-contained. Joint work with Tsz Chiu Kwok, Yin Tat Lee, and Akshay Ramachandran. en_US
dc.format.extent 60:19 minutes
dc.identifier.uri http://hdl.handle.net/1853/60504
dc.language.iso en_US en_US
dc.relation.ispartofseries Algorithms and Randomness Center (ARC) Colloquium
dc.subject Operator scaling en_US
dc.subject Paulsen problem en_US
dc.subject Smoothed analysis en_US
dc.title The Paulsen problem, continuous operator scaling, and smoothed analysis en_US
dc.type Moving Image
dc.type.genre Lecture
dspace.entity.type Publication
local.contributor.corporatename Algorithms and Randomness Center
local.contributor.corporatename College of Computing
local.relation.ispartofseries ARC Colloquium
relation.isOrgUnitOfPublication b53238c2-abff-4a83-89ff-3e7b4e7cba3d
relation.isOrgUnitOfPublication c8892b3c-8db6-4b7b-a33a-1b67f7db2021
relation.isSeriesOfPublication c933e0bc-0cb1-4791-abb4-ed23c5b3be7e
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