arXiv (All)
open access
A Trace--Logarithmic Variational Functional for Equidistribution and Alignment in Moving Mesh Adaptation
Existing variational mesh functionals often require an empirical equidistribution--alignment weight or use a strongly nonlinear density. We propose a calibrated trace--logarithmic functional in the inverse pullback tensor $ A= J^{-1}M^{-1}J^{-T}$,with the logarithmic coefficient fixed by the local t
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- ADELIA: Automatic Differentiation for Efficient Laplace Inference Approximations#168263
- SOTAlign: Semi-Supervised Alignment of Unimodal Vision and Language Models via Optimal Transport#1050824
- SymDrift: One-Shot Generative Modeling under Symmetries#1131521
- Spike-based alignment learning solves the weight transport problem.#472615
- Flash EQ-Linear: Accelerating Equivariant Linear Layers via Group-wise Discrete Fourier Transform#1118659
Record · ID 1013502
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive