Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

YouTube

Geometric Predicates for Unconditionally Robust Elastodynamics Simulation

Inside Livermore Lab via YouTube

Overview

Google, IBM & Meta Certificates — All 10,000+ Courses at 40% Off
One annual plan covers every course and certificate on Coursera. 40% off for a limited time.
Get Full Access
Watch a technical seminar from the FEM@LLNL series where Daniele Panozzo from Courant Institute and NYU explores the development of robust geometric algorithms for elastodynamics simulation. Dive into the challenges of creating reliable PDE solvers and discover a groundbreaking approach using incremental potential contact simulation that guarantees trajectory validity while accounting for floating point rounding errors. Learn how combining rational and interval types ensures computational accuracy without sacrificing performance, and explore practical applications in microscopy and biomechanics, including traction force measurement in zebrafish and simulation of fibrous materials. The presentation demonstrates how conservative line-search methods for collision detection and element validity checking can overcome the limitations of current state-of-the-art approaches, leading to more dependable simulation software for scientific computing and engineering applications.

Syllabus

FEM@LLNL | Geometric Predicates for Unconditionally Robust Elastodynamics Simulation

Taught by

Inside Livermore Lab

Reviews

Start your review of Geometric Predicates for Unconditionally Robust Elastodynamics Simulation

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.