標(biāo)題: Titlebook: Reduced Order Methods for Modeling and Computational Reduction; Alfio Quarteroni,Gianluigi Rozza Book 2014 Springer International Publishi [打印本頁] 作者: Filament 時(shí)間: 2025-3-21 18:51
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書目名稱Reduced Order Methods for Modeling and Computational Reduction讀者反饋
書目名稱Reduced Order Methods for Modeling and Computational Reduction讀者反饋學(xué)科排名
作者: ascend 時(shí)間: 2025-3-21 21:51 作者: Irremediable 時(shí)間: 2025-3-22 02:56 作者: Dungeon 時(shí)間: 2025-3-22 04:53 作者: 沉思的魚 時(shí)間: 2025-3-22 11:42 作者: callous 時(shí)間: 2025-3-22 15:17 作者: Lignans 時(shí)間: 2025-3-22 18:45 作者: 織布機(jī) 時(shí)間: 2025-3-22 22:29
Feng Chen,Jan S. Hesthaven,Xueyu Zhud an der Durchführung der Studie waren viele Helfer beteiligt, denen ich besonders danken will. In chronologischer Reihenfolge ist dies Herr Prof. Heinz S. Rosenbusch, der mich motivierte, das Projekt zu starten, und die erste Welle mit seinem wissenschaftlichen Rat begleitete. Die zweite Welle wurd作者: 支柱 時(shí)間: 2025-3-23 01:29
David Amsallem,Charbel Farhato?en. Wir gehen von einem dynamischen und nicht von einem statischen Konzept der Grenzenregelung aus. Unter Grenzen kann man in der kleinsten Einheit die Trennungslinie zwischen 2 K?rpern verstehen. In ihrer Funktionalit?t regeln die Grenzen die Beziehung der K?rper im Sinne einer N?he-Distanz-Regul作者: 大吃大喝 時(shí)間: 2025-3-23 07:46 作者: ANTE 時(shí)間: 2025-3-23 10:45
Leopold Grinberg,Mingge Deng,George Em Karniadakis,Alexander Yakhottatisch zu denken, weil der Diagnostiker gezwungen ist, sich in einer Momentaufnahme querschnittartig ein Bild von der Struktur zu machen. Man mu? sich deshalb vor Augen führen, da? es sich in Wirklichkeit um Interaktionsprozesse handelt, die eine bestimmte Funktion haben.作者: 小官 時(shí)間: 2025-3-23 14:58
Michel Bergmann,Thierry Colin,Angelo Iollo,Damiano Lombardi,Olivier Saut,Haysam Telibtatisch zu denken, weil der Diagnostiker gezwungen ist, sich in einer Momentaufnahme querschnittartig ein Bild von der Struktur zu machen. Man mu? sich deshalb vor Augen führen, da? es sich in Wirklichkeit um Interaktionsprozesse handelt, die eine bestimmte Funktion haben.作者: MIRE 時(shí)間: 2025-3-23 21:17
Application of the Discrete Empirical Interpolation Method to Reduced Order Modeling of Nonlinear ais different for systems obtained using finite element methods, where the dependence is determined by the mesh and by the polynomial degree of the finite element subspaces. This paper describes two approaches of applying DEIM in the finite element context, one applied to the assembled and the other 作者: 拉開這車床 時(shí)間: 2025-3-23 23:39
On the Stability of Reduced-Order Linearized Computational Fluid Dynamics Models Based on POD and Ggoverning equations of interest are different. Focusing next on compressible fluid-structure interaction problems associated with computational aeroelasticity, this paper shows numerically that the POD-based fluid ROMs originating from the non-descriptor form of the governing linearized CFD equation作者: Distribution 時(shí)間: 2025-3-24 03:43 作者: Ordnance 時(shí)間: 2025-3-24 08:02
Book 2014the development of general error estimation frameworks which take into account both model and discretization effects..This book is primarily addressed to computational scientists interested in computational reduction techniques for large scale differential problems..作者: ACTIN 時(shí)間: 2025-3-24 13:16 作者: 僵硬 時(shí)間: 2025-3-24 16:21 作者: Condense 時(shí)間: 2025-3-24 20:07
Reduced Order Methods for Modeling and Computational Reduction978-3-319-02090-7Series ISSN 2037-5255 Series E-ISSN 2037-5263 作者: Urea508 時(shí)間: 2025-3-24 23:15 作者: HUSH 時(shí)間: 2025-3-25 04:47
Alfio Quarteroni,Gianluigi RozzaA complete review on the state of the art of model order reduction advances and developments.A gallery of application examples on reduced order modeling in computational science and engineering.It cov作者: 緩解 時(shí)間: 2025-3-25 10:15 作者: Cultivate 時(shí)間: 2025-3-25 14:09
https://doi.org/10.1007/978-3-319-02090-7computational mechanics; model order reduction; parametrized PDE; reduced order modeling; scientific com作者: 多骨 時(shí)間: 2025-3-25 18:27 作者: 有權(quán) 時(shí)間: 2025-3-25 21:25
Case Study: Parametrized Reduction Using Reduced-Basis and the Loewner Framework,e having the same goal of constructing reduced-order models for large-scale parameter-dependent systems, the two methods follow fundamentally different approaches. On the one hand, the well known Reduced-Basis method takes a time domain approach, using offline snapshots of the full-order system comb作者: epinephrine 時(shí)間: 2025-3-26 01:03 作者: Override 時(shí)間: 2025-3-26 07:46
Application of the Discrete Empirical Interpolation Method to Reduced Order Modeling of Nonlinear arametrically varying problems the cost of evaluating these ROMs still depends on the size of the full order model and therefore is still expensive. The Discrete Empirical Interpolation Method (DEIM) further approximates the nonlinearity in the projection based ROM. The resulting DEIM ROM nonlinearit作者: 影響深遠(yuǎn) 時(shí)間: 2025-3-26 08:32 作者: 無能性 時(shí)間: 2025-3-26 16:36
A Robust Algorithm for Parametric Model Order Reduction Based on Implicit Moment Matching,n system and control theory as well as computational electromagnetics and nanoelectronics, are methods based on multi-moment matching. Despite numerous other successful methods, including the reduced-basis method (RBM), other methods based on (rational, matrix, manifold) interpolation, or Kriging te作者: 敲詐 時(shí)間: 2025-3-26 18:43 作者: glucagon 時(shí)間: 2025-3-27 00:01 作者: 離開 時(shí)間: 2025-3-27 04:20
Model Order Reduction in Fluid Dynamics: Challenges and Perspectives,eral reasons. First of all, they exhibit strong nonlinearities — which are mainly related either to nonlinear convection terms and/or some geometric variability — that often cannot be treated by simple linearization. Additional difficulties arise when attempting model reduction of unsteady flows, es作者: Brain-Imaging 時(shí)間: 2025-3-27 07:35
Reduced Order Models at Work in Aeronautics and Medicine,or a model described by partial differential equations. The empirical approximation space is usually spanned by a small number of global modes. In case of time-periodic or mainly diffusive phenomena it is shown that this approach can lead to accurate fast simulations of complex problems. In other ca作者: 哭得清醒了 時(shí)間: 2025-3-27 12:07
Book 2014ned by ordinary and/or partial differential equations, with a special emphasis on real time computing techniques and applications in computational mechanics, bioengineering and computer graphics..Several topics are covered, including: design, optimization, and control theory in real-time with applic作者: OTTER 時(shí)間: 2025-3-27 15:56 作者: Defraud 時(shí)間: 2025-3-27 21:34
On the Use of Reduced Basis Methods to Accelerate and Stabilize the Parareal Method,op this approach to solve both linear and nonlinear problems and highlight the minimal changes required to utilize this algorithm to accelerate existing implementations. We illustrate the advantages through algorithmic design, through analysis of stability, convergence, and computational complexity, and through several numerical examples.作者: Gingivitis 時(shí)間: 2025-3-27 22:20 作者: Infinitesimal 時(shí)間: 2025-3-28 02:28 作者: BIAS 時(shí)間: 2025-3-28 08:51
Greedy Sampling Using Nonlinear Optimization,snapshot and to update the reduced basis. We show the well-posedness of this nonlinear optimization problem and derive first- and second-order optimality conditions. Numerical comparisons with the standard Greedy-training method are shown.作者: ostracize 時(shí)間: 2025-3-28 12:49 作者: Medley 時(shí)間: 2025-3-28 17:41 作者: 脾氣暴躁的人 時(shí)間: 2025-3-28 20:24
A Robust Algorithm for Parametric Model Order Reduction Based on Implicit Moment Matching,system, the algorithm generates a projection matrix for model reduction by implicit moment matching. The implementation of the method based on a repeated modified Gram-Schmidt-like process renders the method numerically stable. The proposed method is simple yet efficient. Numerical experiments show that the proposed algorithm is very accurate.作者: 他去就結(jié)束 時(shí)間: 2025-3-29 01:38
