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SUMMARY:An introduction to Persistent Homology - Marc Fersztand\, Universi
 ty of Oxford
DTSTART:20240119T160000Z
DTEND:20240119T170000Z
UID:TALK209281@talks.cam.ac.uk
CONTACT:Alexis Marchand
DESCRIPTION:Topological Data Analysis (TDA) aims at extracting and inferri
 ng information about the shape of datasets. One of its most successful too
 ls is Persistent Homology which uses algebraic topology to uncover topolog
 ical features of point clouds at various scales. It has been applied in a 
 wide range of domains from biology to sensor networks and material science
 . While the theory of single-parameter Persistent Homology is well establi
 shed\, its multiparameter version is an active area of research.\n\nAfter 
 introducing Persistent Homology\, we will see some examples of application
 s and we will discuss the challenges arising in the multiparameter setting
 .
LOCATION:MR13
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