Localised Orthogonal Decomposition Method for Heterogeneous Mixed-Dimensional Problems
Hausdorff Center for Mathematics via YouTube
Build the Finance Skills That Lead to Promotions — Not Just Certificates
MIT Sloan: Lead AI Adoption Across Your Organization — Not Just Pilot It
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
Explore the Localised Orthogonal Decomposition (LOD) method for solving heterogeneous mixed-dimensional elliptic problems in this 27-minute mathematical conference talk. Learn how this computational approach constructs locally supported basis functions on coarse meshes that adapt to specific problem characteristics, ensuring optimal convergence rates while maintaining exponentially decaying localisation errors. Discover the theoretical foundations behind this method and examine numerical experiments that validate the mathematical findings. Gain insights into current research developments extending this framework to hyperbolic problems, making this presentation valuable for researchers and practitioners working in numerical analysis, partial differential equations, and computational mathematics.
Syllabus
Malin Mosquera: Localised Orthogonal Decomposition Method for Hetergeneous Mixed-Dimensional Problem
Taught by
Hausdorff Center for Mathematics