Zobrazeno 1 - 10
of 11 555
pro vyhledávání: '"Nistor, A."'
Publikováno v:
13th Nuclear Plant Instrumentation, Control & Human-Machine Interface Technologies (NPIC&HMIT 2023)
Accurately capturing the three dimensional power distribution within a reactor core is vital for ensuring the safe and economical operation of the reactor, compliance with Technical Specifications, and fuel cycle planning (safety, control, and perfor
Externí odkaz:
http://arxiv.org/abs/2409.17405
Autor:
Nistor, Simona, Rusu, Mihaela
In this paper, we extend the investigation of biconservative surfaces with parallel normalized mean curvature vector fields (PNMC) in the 4-dimensional space forms, focusing on the hyperbolic space \mathbb{H}^4, the last remaining case to explore. We
Externí odkaz:
http://arxiv.org/abs/2408.07359
We prove \emph{uniform solvability estimates} for certain families of elliptic problems posed in a bounded family of domains (for example, a sequence that converges to another domain). We provide uniform estimates both in weighted and in usual Sobole
Externí odkaz:
http://arxiv.org/abs/2406.04773
Autor:
Andronic, Stefan, Nistor, Simona
In this paper we determine a larger gap of the mean curvature for a class of proper biharmonic submanifolds with parallel mean curvature vector field in Euclidean spheres. When the bounds of the gap are reached, we obtain splitting results of the sub
Externí odkaz:
http://arxiv.org/abs/2403.10155
In this article we initiate a thorough geometric study of the conformal bienergy functional which consists of the standard bienergy augmented by two additional curvature terms. The conformal bienergy is conformally invariant in dimension four and its
Externí odkaz:
http://arxiv.org/abs/2311.04493
Data is increasingly being collected from multiple sources and described by multiple views. These multi-view data provide richer information than traditional single-view data. Fusing the former for specific tasks is an essential component of multi-vi
Externí odkaz:
http://arxiv.org/abs/2311.12859
Motivated by the study of layer potentials on manifolds with straight conical or cylindrical ends, we introduce and study two classes (or calculi) of pseudodifferential operators defined on manifolds with cylindrical ends: the class of pseudodifferen
Externí odkaz:
http://arxiv.org/abs/2308.06308
We provide Fredholm conditions for compatible differential operators on certain Lie manifolds (that is, on certain possibly non-compact manifolds with nice ends). We discuss in more detail the case of manifolds with cylindrical, hyperbolic, and Eucli
Externí odkaz:
http://arxiv.org/abs/2308.06225
We consider a \emph{family} $(P_\omega)_{\omega \in \Omega}$ of elliptic second order differential operators on a domain $U_0 \subset \mathbb{R}^m$ whose coefficients depend on the space variable $x \in U_0$ and on $\omega \in \Omega,$ a probability
Externí odkaz:
http://arxiv.org/abs/2308.06215
Publikováno v:
2022 IEEE Symposium Series on Computational Intelligence (SSCI), Dec 2022, Singapore, Singapore. pp.1386-1391
By combining related objects, unsupervised machine learning techniques aim to reveal the underlying patterns in a data set. Non-negative Matrix Factorization (NMF) is a data mining technique that splits data matrices by imposing restrictions on the e
Externí odkaz:
http://arxiv.org/abs/2308.04778