arXiv (All)
open access
Optimal Monte Carlo integration on matrix manifolds
This article develops optimal order (up to logarithmic factors) weighted cubature rules for Monte Carlo numerical integration in Sobolev reproducing kernel Hilbert spaces over common matrix manifolds. Specifically, we consider matrix models of the Stiefel, Grassmann, flag, and Lagrangian Grassmann m
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
- Rate of convergence for non-Hermitian random matrices and their products#779237
- Universality for the extreme eigenvalues of Laplacian random matrices#1233115
- A Riemannian gradient descent method for optimization on the indefinite Stiefel manifold#147027
- Revisiting Toeplitz and Hankel random matrices via $*$-convergence of circulant-type matrices#1014702
- Stable and Online Algorithms for Random Matrix Discrepancy#1156862
Record · ID 1341846
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