Results 91 to 100 of about 1,842 (194)
Accelerated Optimization on Riemannian Manifolds via Discrete Constrained Variational Integrators. [PDF]
J Nonlinear Sci, 2022 Duruisseaux V, Leok M.
europepmc +1 more source
Conformality on Semi-Riemannian Manifolds
Mediterranean Journal of Mathematics, 2015 The authors present an interesting study for a class \((C)\) of maps (conformal semi-Riemannian maps) between semi-Riemannian manifolds. The class \((C)\) contains semi-Riemannian submersions and isometric immersions. Some examples are given. A characterization is the following: Theorem 1.
Bejan, Cornelia-Livia, Eken, Semsi
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Correction to “Reconstructing Curves from Sparse Samples on Riemannian Manifolds”
Computer Graphics Forum, EarlyView.
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Iterated Relation Systems on Riemannian Manifolds
Fractal and FractionalFor fractals on Riemannian manifolds, the theory of iterated function systems often does not apply well directly, as these fractal sets are often defined by relations that are multivalued or non-contractive.
Jie Liu, Sze-Man Ngai, Lei Ouyang
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A remark on infinity-harmonic functions on Riemannian manifolds
Electronic Journal of Differential Equations, 1995 functions on Riemannian manifolds. As a corollary, there is no non-constant $infty$-harmonic function on positively (or negatively) curved manifolds.
Nobumitsu Nakauchi
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Slant submersions from almost paracontact Riemannian manifolds
Kuwait Journal of Science, 2015 In this paper, we introduce slant submersions from almost paracontact Riemannian manifoldsonto Riemannian manifolds. We give examples and investigate the geometry of foliationswhich are arisen from the definition of a Riemannian submersion.
YILMAZ GÜNDÜZALP
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Stability of vertical minimal surfaces in three-dimensional sub-Riemannian manifolds
Pracì Mìžnarodnogo Geometričnogo CentruWe obtain first and second variation formulae for minimal surfaces in three-dimensional sub-Riemannian manifolds which are vertical, i.e., perpendicular to the horizontal distribution of the sub-Riemannian structure.
Eugene Petrov, Ihor Havrylenko
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On Interpolating Sesqui-Harmonic Maps Between Riemannian Manifolds. [PDF]
J Geom Anal, 2020 Branding V.
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Learning neural operators on Riemannian manifolds
National Science OpenLearning mappings between functions (operators) defined on complex computational domains is a common theoretical challenge in machine learning. Existing operator learning methods mainly focus on regular computational domains, and have many components ...
Chen Gengxiang +5 more
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