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UID:0b528f3c5aa2df03b96f8ee6b3bf2ee4
CATEGORIES:Applied and Computational Math Seminar
CREATED:20240404T040802
SUMMARY:Inverse problems to mean field game systems: analysis and computation
LOCATION:Hill 705
DESCRIPTION:Mean field game models have been developed in different application areas. 
 We will provide an overview of recent developments in inverse problems to m
 ean field game models where we are interested in reconstructing missing inf
 ormation from observed data. We present a few different scenarios where dif
 ferential data allows for the unique identification of model parameters in 
 various forms, as well as numerical methods for computing the inverse solut
 ions.\n
X-ALT-DESC;FMTTYPE=text/html:<p><span style="color: #242424; font-family: 'Segoe UI', 'Segoe UI Web (Wes
 t European)', 'Segoe UI', -apple-system, BlinkMacSystemFont, Roboto, 'Helve
 tica Neue', sans-serif; font-size: 15px; font-style: normal; font-weight: 4
 00; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px
 ; text-transform: none; widows: 2; word-spacing: 0px; white-space: normal; 
 background-color: #ffffff; float: none;">Mean field game models have been d
 eveloped in different application areas. We will provide an overview of rec
 ent developments in inverse problems to mean field game models where we are
  interested in reconstructing missing information from observed data. We pr
 esent a few different scenarios where differential data allows for the uniq
 ue identification of model parameters in various forms, as well as numerica
 l methods for computing the inverse solutions.</span></p>
CONTACT:Kui Ren (Columbia University)
DTSTAMP:20260827T043225
DTSTART;TZID=America/New_York:20240410T110000
DTEND;TZID=America/New_York:20240410T120000
SEQUENCE:0
TRANSP:OPAQUE
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