arXiv (All)
open access
Nonlinear Rayleigh quotient optimization
Rayleigh quotient minimization deals with optimizing a quadratic homogeneous function over a sphere. Its critical points correspond to the normalized eigenvectors of the symmetric matrix associated with the quadratic form. In this paper, we consider a homogeneous polynomial objective function $f$ ov
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
- Optimization hierarchies for extremal geometry through complete positivity#1129459
- (MPO)$^2$: Multivariate Polynomial Optimization based on Matrix Product Operators#381752
- Stochastic Lanczos Quadrature for Computational Uncertainty in Linear Algebra#996996
- Exact Quadratic Penalty Function for Symplectic Eigenvalue Problem#793640
- Exact Quadratic Penalty Function for Symplectic Eigenvalue Problem#789636
Record · ID 998038
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