BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//https://events.wayne.edu///NONSGML kigkonsult.se iCalcreator 2.24
.2//
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:WSU - Research Events
X-WR-CALDESC:Wayne State University Events Calendar
X-WR-TIMEZONE:America/Detroit
X-LIC-LOCATION:America/Detroit
BEGIN:VEVENT
UID:20200806T064919EDT-1060029a94@https://events.wayne.edu/
DTSTAMP:20200806T104919Z
CATEGORIES:
CLASS:public
CREATED:20190925T121814Z
DESCRIPTION:Speaker: \;Constantin Bacuta\, \;University of Delaware
\nTitle: Least Squares Discretization of Mixed Variational Problems\nAbstr
act: \;We introduce a new \; least squares method for discretizing
boundary value problems written as mixed variational formulations. \
; At the continuous level we assume a stability LBB condition and data com
patibility. The proposed discretization method \; is associated with s
tandard discretization of an equivalent saddle point reformulation of the
original mixed problem. \; Choices for the \; discrete spaces can
be done such that a discrete \; $inf-sup$ condition is automatically s
atisfied. \; We choose a standard conforming \; test spaces first.
A corresponding trial spaces is chosen second \; by using the action
of the continuous operator that defines the mixed problem. The \; impl
ementation of \; the proposed \; iterative process does not requir
e nodal bases for the trial space. A \; natural preconditioning strate
gy \; based on the general theory of preconditioning symmetric problem
s \; is proposed. Applications of the method include discretizations o
f first order systems of parametric PDEs\, such as the time-hamonic Maxwel
l equations and second order PDEs with variable or discontinuous coefficie
nts.
DTSTART:20191015T130000
DTEND:20191015T140000
LOCATION:FacultyAdministration
SUMMARY:Applied Mathematics Seminar - Constantin Bacuta
TRANSP:OPAQUE
URL:https://events.wayne.edu/research-events/2019/10/15/applied-mathematics
-seminar-constantin-bacuta-83734/
X-MICROSOFT-CDO-ALLDAYEVENT:false
END:VEVENT
END:VCALENDAR