Zobrazeno 1 - 10
of 63 128
pro vyhledávání: '"orthogonal decomposition"'
Diffusion model-based approaches recently achieved re-markable success in MRI reconstruction, but integration into clinical routine remains challenging due to its time-consuming convergence. This phenomenon is partic-ularly notable when directly appl
Externí odkaz:
http://arxiv.org/abs/2411.03758
Autor:
Sheflin, Jessie
This work examines two ways of using proper orthogonal decomposition (POD) to enhance the prior work of EITPose, a device which uses electrical impedance tomography (EIT) to detect posture by way of a band of electrodes on the forearm. First, an elec
Externí odkaz:
http://arxiv.org/abs/2412.08036
Autor:
Yu, Tao, Yue, Xingye
This paper employs a localized orthogonal decomposition (LOD) method with $H^1$ interpolation for solving the multiscale elliptic problem. This method does not need any assumptions on scale separation. We give a priori error estimate for the proposed
Externí odkaz:
http://arxiv.org/abs/2411.00363
Autor:
Hauck, Moritz, Lozinski, Alexei
In this paper, we propose a multiscale method for heterogeneous Stokes problems. The method is based on the Localized Orthogonal Decomposition (LOD) methodology and has approximation properties independent of the regularity of the coefficients. We ap
Externí odkaz:
http://arxiv.org/abs/2410.14514
Autor:
Ghasemi, Alireza1 (AUTHOR) alireza.ghasemi@utwente.nl, Christou, Thomas2 (AUTHOR), Kok, Jim B.W.1 (AUTHOR), Stelzner, Björn2 (AUTHOR), Zarzalis, Nikolaos2 (AUTHOR)
Publikováno v:
International Journal of Spray & Combustion Dynamics. Mar-Jun2024, Vol. 16 Issue 1/2, p16-32. 17p.
Applying Proper Orthogonal Decomposition to Parabolic Equations: A Reduced Order Numerical Approach.
Autor:
MORARU, Mircea1 mircea.moraru@stud.aero.upb.ro
Publikováno v:
INCAS Bulletin. Jan-Mar2024, Vol. 16 Issue 1, p65-76. 12p.
Autor:
Li, Teng1 (AUTHOR) tengli@buaa.edu.cn, Pan, Tianyu1,2 (AUTHOR) pantianyu@buaa.edu.cn, Zhou, Xiangxin3 (AUTHOR), Zhang, Kun3 (AUTHOR), Yao, Jianyao3 (AUTHOR) pantianyu@buaa.edu.cn
Publikováno v:
Energies (19961073). Jan2024, Vol. 17 Issue 1, p146. 22p.
We present the construction of a sparse-compressed operator that approximates the solution operator of elliptic PDEs with rough coefficients. To derive the compressed operator, we construct a hierarchical basis of an approximate solution space, with
Externí odkaz:
http://arxiv.org/abs/2407.18671
Continual perturbations to the flow field in the square lid driven cavity can significantly impact both its stability and the dynamic characteristics of the system. In this study, the effect of these perturbations are analyzed via computational fluid
Externí odkaz:
http://arxiv.org/abs/2408.04047
This paper presents a neural network-based methodology for the decomposition of transport-dominated fields using the shifted proper orthogonal decomposition (sPOD). Classical sPOD methods typically require an a priori knowledge of the transport opera
Externí odkaz:
http://arxiv.org/abs/2407.17539