💎 Welcome to MyBunny.TV – Your Premium Streaming Destination 💎
Enjoy 42,500+ Premium HD Channels, Lightning-fast instant activation, 24/7 customer support, Multi-device compatibility, and experience lightning-fast instant activation.
Reliable, stable, and built for the ultimate streaming experience – no hassles, just entertainment! MyBunny.TV – Cheaper Than Cable • Up to 35% Off Yearly Plans • All NFL, ESPN, PPV Events Included 💎
🎉 Join the fastest growing IPTV community today and discover why everyone is switching to MyBunny.TV!
Chun S. Moving Frames for the Numerical Solution of PDE in Complex Domains 2025
To start this P2P download, you have to install a BitTorrent client like
qBittorrent
Category:Other Total size: 22.39 MB Added: 2 months ago (2025-11-29 11:51:01)
Share ratio:13 seeders, 2 leechers Info Hash:399D58253A7231BB3EF6360A87B682F1F100273B Last updated: 8 hours ago (2026-02-03 08:10:09)
Report Bad Torrent
×
Description:
Textbook in PDF format
This book presents a comprehensive and geometrical approach to solving partial differential equations (PDEs) on complex curved domains using orthonormal moving frames. Rooted in Élie Cartan’s classical theory but adapted for computational practicality, the framework aligns local basis vectors with the intrinsic geometry and anisotropy of the domain, enabling accurate and efficient discretization without requiring explicit metric tensors or Christoffel symbols. Topics include the construction of moving frames on general manifolds, covariant derivatives via connection 1-forms, and frame-based formulations of gradient, divergence, curl, and Laplacian operators. Extensive MatLAB and C++ implementations (via Nektar++) are provided for benchmark problems in diffusion-reaction systems, shallow water equations, and Maxwell’s equations on complex surfaces such as the sphere, pseudosphere, and atrial tissue. Emphasizing clarity and accessibility, the book blends theory, visualization, and numerical practice, making it an essential resource for graduate students and researchers in scientific computing, applied mathematics, and engineering disciplines dealing with PDEs on non-Euclidean domains