Results 11 to 20 of about 320,618 (278)

Geodesic Vector Fields on a Riemannian Manifold

open access: yesMathematics, 2020
A unit geodesic vector field on a Riemannian manifold is a vector field whose integral curves are geodesics, or in other worlds have zero acceleration. A geodesic vector field on a Riemannian manifold is a smooth vector field with acceleration of each of
Sharief Deshmukh   +2 more
doaj   +2 more sources

On hypersurfaces in a locally affine Riemannian Banach manifold [PDF]

open access: yesInternational Journal of Mathematics and Mathematical Sciences, 2002
We prove that an essential hypersurface of second order in an infinite dimensional locally affine Riemannian Banach manifold is a Riemannian manifold of constant nonzero curvature.
El-Said R. Lashin, Tarek F. Mersal
doaj   +2 more sources

On hypersurfaces in a locally affine Riemannian Banach manifold II

open access: yesInternational Journal of Mathematics and Mathematical Sciences, 2004
In our previous work (2002), we proved that an essential second-order hypersurface in an infinite-dimensional locally affine Riemannian Banach manifold is a Riemannian manifold of constant nonzero curvature.
El-Said R. Lashin, Tarek F. Mersal
doaj   +2 more sources

Classification of Polarimetric SAR Images Based on the Riemannian Manifold

open access: yesLeida xuebao, 2017
Classification is one of the core components in the interpretation of Polarimetric Synthetic Aperture Radar (PolSAR) images. A new PolSAR image classification approach employs the structural properties of the Riemannian manifold formed by PolSAR ...
Yang Wen   +3 more
doaj   +2 more sources

Transnormal functions on a Riemannian manifold

open access: yes, 2013
We extend theorems of É. Cartan, Nomizu, Münzner, Q.M. Wang, and Ge–Tang on isoparametric functions to transnormal functions on a general Riemannian manifold.
R. Miyaoka
semanticscholar   +2 more sources

Reducing the Dimensionality of SPD Matrices with Neural Networks in BCI

open access: yesMathematics, 2023
In brain–computer interface (BCI)-based motor imagery, the symmetric positive definite (SPD) covariance matrices of electroencephalogram (EEG) signals with discriminative information features lie on a Riemannian manifold, which is currently attracting ...
Zhen Peng   +3 more
doaj   +1 more source

On conformal transformations of metrics of Riemannian paracomplex manifolds

open access: yesДифференциальная геометрия многообразий фигур, 2021
A 2n-dimensional differentiable manifold M with -structure is a Riemannian almost para­complex manifold. In the present paper, we consider con­formal transformations of metrics of Riemannian para­complex manifolds.
S.E. Stepanov   +2 more
doaj   +1 more source

On Polyharmonic Riemannian Manifolds

open access: yesZeitschrift für Analysis und ihre Anwendungen, 1987
A natural generalization of the harmonic manifolds is considered: a Riemannian manifold is called k -harmonic or polyharmonic if it admits a non-constant k -harmonic
Schimming, R., Kowolik, J.
openaire   +3 more sources

Pseudo-manifold geometries with applications [PDF]

open access: yes, 2006
A Smarandache geometry is a geometry which has at least one Smarandachely denied axiom(1969), i.e., an axiom behaves in at least two different ways within the same space, i.e., validated and invalided, or only invalided but in multiple distinct ways and ...
Mao, Linfan, Linfan Mao
core   +1 more source

Information-Geometric Markov Chain Monte Carlo Methods Using Diffusions [PDF]

open access: yes, 2014
Recent work incorporating geometric ideas in Markov chain Monte Carlo is reviewed in order to highlight these advances and their possible application in a range of domains beyond statistics. A full exposition of Markov chains and their use in Monte Carlo
Livingstone, Samuel   +5 more
core   +1 more source

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