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DTSTART:19700308T020000
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BEGIN:VEVENT
DTSTAMP:20260805T205600Z
LOCATION:Room 408 A
DTSTART;TZID=America/Los_Angeles:20260721T094000
DTEND;TZID=America/Los_Angeles:20260721T095000
UID:siggraph_SIGGRAPH 2026_sess135_papers_1724@linklings.com
SUMMARY:Generic Variational Spacetime Optimization of Vortex Core Manifold
 s
DESCRIPTION:Xingdi Zhang, Peter Rautek, and Markus Hadwiger (King Abdullah
  University of Science and Technology (KAUST))\n\nWe introduce a highly ef
 ficient variational framework for computing optimal vortex cores in 3D uns
 teady flows. By unifying diverse detection criteria through time-preintegr
 ated Lagrangians, our method accurately reconstructs spacetime vortex mani
 folds by solving Euler-Lagrange equations in just one time step, enabling 
 rapid and robust flow analysis.\n\nInterest Area: Research & Education\n\n
 Keyword: Animation, Artificial Intelligence/Machine Learning, Real-Time, R
 endering, Scientific Visualization, Simulation\n\nRegistration Category: F
 ull Conference Supporter, Full Conference\n\nSession Chair: Kui Wu (LIGHTS
 PEED)\n\n
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