Open AccessSolving Joint Diagonalization Problems via a Riemannian Conjugate Gradient Method in Stiefel Manifold
Author(s) -
Hugo Lara Urdaneta,
Harry Oviedo
Publication year - 2018
Publication title -
proceeding series of the brazilian society of computational and applied mathematics
Language(s) - Uncategorized
Resource type - Conference proceedings
ISSN - 2359-0793
DOI - 10.5540/03.2018.006.02.0327
Subject(s) - stiefel manifold , conjugate gradient method , riemannian manifold , manifold (fluid mechanics) , derivation of the conjugate gradient method , mathematics , statistical manifold , joint (building) , conjugate residual method , computer science , algorithm , gradient descent , mathematical optimization , mathematical analysis , pure mathematics , information geometry , artificial intelligence , geometry , artificial neural network , engineering , mechanical engineering , curvature , architectural engineering , scalar curvature