Results 41 to 50 of about 1,154 (200)

A Note on Pseudo-Umbilical Submanifolds of Hessian Manifolds with Constant Hessian Sectional Curvature [PDF]

open access: yesISRN Geometry, 2011
The geometry of Hessian manifold, as a branch of statistics, physics, Kaehlerian, and affine differential geometry, is deeply fruitful and a new field for scientists. However, inspite of its importance submanifolds and curvature conditions of it have not been so well known yet.
Yilmaz, Münevver Yildirim   +1 more
openaire   +2 more sources

Lagrange geometry on tangent manifolds

open access: yesInternational Journal of Mathematics and Mathematical Sciences, 2003
Lagrange geometry is the geometry of the tensor field defined by the fiberwise Hessian of a nondegenerate Lagrangian function on the total space of a tangent bundle. Finsler geometry is the geometrically most interesting case of Lagrange geometry.
Izu Vaisman
doaj   +1 more source

Combinatorial Optimization with Information Geometry: The Newton Method

open access: yesEntropy, 2014
e discuss the use of the Newton method in the computation of max(p → Εp [f]), where p belongs to a statistical exponential family on a finite state space.
Luigi Malagò, Giovanni Pistone
doaj   +1 more source

A Kinetic–Energetic Bottleneck of Charge‐Transfer Injection Governs Energy Loss in Organic Solar Cells

open access: yesAdvanced Energy Materials, EarlyView.
Kinetic–energetic projection of time‐resolved photoluminescence reveals that charge‐transfer injection acts as a universal bottleneck in organic solar cells. A physics‐constrained Bayesian framework identifies an emergent effective CT injection rate governing the trade‐off between charge generation and nonradiative energy loss.
Rong Wang   +16 more
wiley   +1 more source

ℓ2,1 Norm and Hessian Regularized Non-Negative Matrix Factorization with Discriminability for Data Representation

open access: yesApplied Sciences, 2017
Matrix factorization based methods have widely been used in data representation. Among them, Non-negative Matrix Factorization (NMF) is a promising technique owing to its psychological and physiological interpretation of spontaneously occurring data.
Peng Luo, Jinye Peng, Jianping Fan
doaj   +1 more source

Hyperbolic compactification of M-theory and de Sitter quantum gravity

open access: yesSciPost Physics, 2022
We present a mechanism for accelerated expansion of the universe in the generic case of negative-curvature compactifications of M-theory, with minimal ingredients. M-theory on a hyperbolic manifold with small closed geodesics supporting Casimir energy
G. Bruno De Luca, Eva Silverstein, Gonzalo Torroba
doaj   +1 more source

Nonparametric maximum likelihood estimation of the survival function using current lifetime data

open access: yesCanadian Journal of Statistics, EarlyView.
Abstract An issue when estimating the failure time survival function is how to set up a prevalent cohort study infrastructure to follow subjects after enrollment. This problem can be circumvented through the well‐known Grenander density estimator using current lifetime observations only.
James H. McVittie, Masoud Asgharian
wiley   +1 more source

A Note on Killing Calculus on Riemannian Manifolds

open access: yesMathematics, 2021
In this article, it has been observed that a unit Killing vector field ξ on an n-dimensional Riemannian manifold (M,g), influences its algebra of smooth functions C∞(M).
Sharief Deshmukh   +3 more
doaj   +1 more source

Differential geometric approximation of the gradient and Hessian on a triangulated manifold [PDF]

open access: yes2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
In a number of medical imaging modalities, including measurements or estimates of electrical activity on cortical or cardiac surfaces, it is often useful to estimate spatial derivatives of data on curved anatomical surfaces represented by triangulated meshes.
Burak Erem, Dana H. Brooks
openaire   +2 more sources

Homophily‐adjusted social influence estimation

open access: yesCanadian Journal of Statistics, EarlyView.
Abstract Homophily and social influence are two key concepts of social network analysis. Distinguishing between these phenomena is difficult, and approaches to disambiguate the two have been primarily limited to longitudinal data analyses. In this study, we provide sufficient conditions for valid estimation of social influence through cross‐sectional ...
Hanh T.D. Pham, Daniel K. Sewell
wiley   +1 more source

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