Results 41 to 50 of about 5,625,691 (189)

Higher order dynamic mode decomposition

, 2017
This paper deals with an extension of dynamic mode decomposition (DMD), which is appropriate to treat general periodic and quasi-periodic dynamics, and transients decaying to periodic and quasiperiodic attractors, including cases (not accessible to ...
Vega De Prada, Jose Manuel, Le Clainche Martinez, Soledad, Soledad Le Clainche, José M. Vega   +3 more
core   +1 more source

Unsteady Flow Field Analysis of Axial Compressor Cascade Based on Proper Orthogonal Decomposition and Dynamic Mode Decomposition Methods [PDF]

Journal of Applied Fluid Mechanics
The analysis of the unsteady flow field in axial compressor cascade is conducted using methods such as proper orthogonal decomposition (POD) and dynamic mode decomposition (DMD).
X. Wu, R. Wang, Y. Du
doaj   +1 more source

Unsteady Flow Field Analysis of a Compressor Cascade Based on Dynamic Mode Decomposition

Aerospace
Traditional flow field modeling methods are limited by high computational complexity, making them difficult to apply in practical engineering. This study applies the Dynamic Mode Decomposition (DMD) method to perform reduced-order modeling of unsteady ...
Xiaoxiong Wu, Yuming Du
doaj   +1 more source

A dynamic-mode-decomposition-based acceleration method for unsteady adjoint equations at low Reynolds numbers

Theoretical and Applied Mechanics Letters, 2023
The computational cost of unsteady adjoint equations remains high in adjoint-based unsteady aerodynamic optimization. In this letter, the solution of unsteady adjoint equations is accelerated by dynamic mode decomposition (DMD).
Wengang Chen, Jiaqing Kou, Wenkai Yang
doaj   +1 more source

A Living Multi‐Omics PDX Biobank of High‐Risk Sarcomas Reveals ecDNA‐Driven Oncogene Amplification in Osteosarcoma and Enables Preclinical Precision Oncology

Advanced Science, EarlyView.
A living multi‐omics sarcoma PDX biobank is enriched for high‐risk disease and preserves key patient tumor features at histopathological and molecular levels. Integrated profiling reveals ecDNA‐driven oncogene amplification in osteosarcoma and preferential retention of ecDNA during PDX evolution.
Weisong Zhao, Zhiwei Cheng, Kai Tian, Mengxiong Sun, Zhuoying Wang, Ming Jiao, Jens Luebeck, Kaiyuan Zhu, Xiao Zhang, Dongqing Zuo, Hongsheng Wang, Chongren Wang, Jiakang Shen, Xiaojun Ma, Gangyang Wang, Zongyi Wang, Jing Han, Kaiyuan Liu, Haoran Mu, Weiqi Ma, Yongyong Ren, Shibing Guo, Huangxin Tu, Lingfeng Yu, Yining Tao, Yu Lv, Hui Lu, Owen S. Chapman, Rishaan Kenkre, Lukas Chavez, Zhengdong Cai, Yuqin Yang, Wei Sun, Yafei Jiang, Yingqi Hua   +34 more
wiley   +1 more source

Bayesian Dynamic Mode Decomposition

, 2017
Dynamic mode decomposition (DMD) is a data-driven method for calculating a modal representation of a nonlinear dynamical system, and it has been utilized in various fields of science and engineering. In this paper, we propose Bayesian DMD, which provides
Yasuo Tabei, Yoshinobu Kawahara, Naoya Takeishi, Takehisa Yairi   +3 more
core   +1 more source

The kernel perspective on dynamic mode decomposition [PDF]

, 2023
This manuscript revisits theoretical assumptions concerning dynamic mode decomposition (DMD) of Koopman operators, including the existence of lattices of eigenfunctions, common eigenfunctions between Koopman operators, and boundedness and compactness of ...
Jury, Michael, Abudia, Moad, Rosenfeld, Joel A., Kamalapurkar, Rushikesh, Gonzalez, Efrain   +4 more
core   +1 more source

Spectral Submanifolds of Delay Systems: Control in Continuous and Discrete Time

International Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT This paper presents both continuous‐time and discretization‐based approaches for constructing spectral submanifolds (SSMs) for time delay systems. The continuous‐time approach built upon sun–star calculus, reformulates the governing delay differential equation (DDE) as an operator differential equation (OpDE).
Bence Szaksz, Gábor Orosz, Gábor Stépán   +2 more
wiley   +1 more source

Dynamic mode decomposition using a Kalman filter for parameter estimation

AIP Advances, 2018
A novel dynamic mode decomposition (DMD) method based on a Kalman filter is proposed. This paper explains the fast algorithm of the proposed Kalman filter DMD (KFDMD) in combination with truncated proper orthogonal decomposition for many-degree-of ...
Taku Nonomura, Hisaichi Shibata, Ryoji Takaki   +2 more
doaj   +1 more source

An Improved Fast Computational Method for Vibration Characteristic Analysis of Dry‐Type Iron Core Reactor

High Voltage, EarlyView.
ABSTRACT Structural mechanics field simulation plays a critical role in the vibration characteristic analysis of electrical equipment. Existing structural field analysis of equipment based on numerical simulation faces challenges such as convergence difficulties and prolonged computational time, failing to meet the demand for real‐time prediction of ...
Wanqing Wang, Caibo Liao, Bang Liu, Kai Li, Wenyu Liu, Zhaoguo Li, Xianfa Tian   +6 more
wiley   +1 more source