Solving Joint Diagonalization Problems via a Riemannian Conjugate Gradient Method in Stiefel Manifold | Zendy

Hugo Lara Urdaneta | Zendy; Harry Oviedo | Zendy

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Solving 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

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