Adaptive Quadratically Regularized Newton Method for Riemannian Optimization
Autor: | Ya-xiang Yuan, Andre Milzarek, Zaiwen Wen, Jiang Hu |
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Rok vydání: | 2018 |
Předmět: |
Condensed Matter::Quantum Gases
Riemannian optimization Quadratic growth 021103 operations research Rank (linear algebra) Condensed Matter::Other 0211 other engineering and technologies Image registration 010103 numerical & computational mathematics 02 engineering and technology 01 natural sciences Regularization (mathematics) Signal symbols.namesake Computer Science::Computer Vision and Pattern Recognition symbols Applied mathematics Density functional theory Mathematics::Differential Geometry 0101 mathematics Newton's method Analysis Mathematics |
Zdroj: | SIAM Journal on Matrix Analysis and Applications. 39:1181-1207 |
ISSN: | 1095-7162 0895-4798 |
Popis: | Optimization on Riemannian manifolds widely arises in eigenvalue computation, density functional theory, Bose--Einstein condensates, low rank nearest correlation, image registration, signal process... |
Databáze: | OpenAIRE |
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