標(biāo)題: Titlebook: Uncertainty Quantification in Computational Fluid Dynamics; Hester Bijl,Didier Lucor,Christoph Schwab Book 2013 Springer International Pub [打印本頁] 作者: 瘦削 時間: 2025-3-21 18:20
書目名稱Uncertainty Quantification in Computational Fluid Dynamics影響因子(影響力)
書目名稱Uncertainty Quantification in Computational Fluid Dynamics影響因子(影響力)學(xué)科排名
書目名稱Uncertainty Quantification in Computational Fluid Dynamics網(wǎng)絡(luò)公開度
書目名稱Uncertainty Quantification in Computational Fluid Dynamics網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Uncertainty Quantification in Computational Fluid Dynamics被引頻次
書目名稱Uncertainty Quantification in Computational Fluid Dynamics被引頻次學(xué)科排名
書目名稱Uncertainty Quantification in Computational Fluid Dynamics年度引用
書目名稱Uncertainty Quantification in Computational Fluid Dynamics年度引用學(xué)科排名
書目名稱Uncertainty Quantification in Computational Fluid Dynamics讀者反饋
書目名稱Uncertainty Quantification in Computational Fluid Dynamics讀者反饋學(xué)科排名
作者: Nomadic 時間: 2025-3-21 23:08 作者: Liberate 時間: 2025-3-22 03:32 作者: Incorruptible 時間: 2025-3-22 06:48
Uncertainty Quantification in Computational Fluid Dynamics978-3-319-00885-1Series ISSN 1439-7358 Series E-ISSN 2197-7100 作者: output 時間: 2025-3-22 11:57
Implementation of Intrusive Polynomial Chaos in CFD Codes and Application to 3D Navier-Stokes,ronment. E.g. in aeronautics the objectives set by the EU are to reduce aircraft development costs by resp. 20 and 50 % in the short and long term. Virtual prototyping and advanced design optimization, which largely depend on the predictive performance and the reliability of simulation software, are essential tools to reach this goal.作者: PANEL 時間: 2025-3-22 14:54 作者: 動機(jī) 時間: 2025-3-22 19:11 作者: 小丑 時間: 2025-3-22 23:21 作者: 不可知論 時間: 2025-3-23 04:13 作者: 討好美人 時間: 2025-3-23 06:08
Philip Beran,Bret Stanfords regularization which is usually called infrared regularization, might be achieved, for example, by means of the transformation (m. ? k. ? i0) → (m. ? k. ? i?), where ? > 0. On the other hand, it is also convenient to handle the ultraviolet regularization which improves the asymptotic behaviour of 作者: 任命 時間: 2025-3-23 13:38 作者: 外露 時間: 2025-3-23 15:38 作者: cardiac-arrest 時間: 2025-3-23 20:24 作者: 送秋波 時間: 2025-3-24 01:36
Uncertainty Quantification in Aeroelasticity, difficulty of quantifying aeroelastic uncertainties and increase the reliability of aircraft structures subjected to airloads. A series of aeroelastic analyses and reliability studies will be carried out to illustrate key concepts.作者: ATOPY 時間: 2025-3-24 02:20
Robust Uncertainty Propagation in Systems of Conservation Laws with the Entropy Closure Method,ons arising in this framework. The first aim of this work is the description of some mathematical features of the moment method applied to the modeling of uncertainties in systems of conservation laws. The second objective is to relate theoretical description and understanding to some basic numerica作者: 昏迷狀態(tài) 時間: 2025-3-24 09:19
Adaptive Uncertainty Quantification for Computational Fluid Dynamics, in all stochastic directions at a cost independent of dimension. The Gaussian process framework allows this information to be incorporated into the surrogate, as well as providing regression of both CFD output values and derivatives according to error estimates. It also provides an interpolation er作者: 不出名 時間: 2025-3-24 11:56 作者: Acetabulum 時間: 2025-3-24 17:01
Essentially Non-oscillatory Stencil Selection and Subcell Resolution in Uncertainty Quantification,om spatial discontinuities in the interior of the simplexes by resolving the discontinuity location in the probability space explicitly and by extending the stochastic response surface approximations up to the predicted discontinuity location. The advantages of the presented approaches are illustrat作者: 地名表 時間: 2025-3-24 21:15 作者: 教義 時間: 2025-3-25 00:31
Bruno Després,Ga?l Po?tte,Didier Lucord as a reference thanks to comprehensivelists and detailed indices that may lead to expected or unexpected information. ..Both specialists and newcomers to the field will find this book appealing, since its content is presented in such a way that re978-3-031-08657-1978-3-031-08655-7Series ISSN 0077-0507 Series E-ISSN 2297-0274 作者: 種類 時間: 2025-3-25 05:50 作者: BOAST 時間: 2025-3-25 08:55 作者: Chauvinistic 時間: 2025-3-25 13:22 作者: enumaerate 時間: 2025-3-25 16:06
Robust Uncertainty Propagation in Systems of Conservation Laws with the Entropy Closure Method,o solve the underlying uncertain systems, we rely on moment theory and the construction of a moment model in the framework of parametric polynomial approximations. We prove the spectral convergence of this approach for the uncertain inviscid Burgers’ equation. We also emphasize the difficulties aris作者: critique 時間: 2025-3-25 23:57
Adaptive Uncertainty Quantification for Computational Fluid Dynamics,rst is “.”, which approximates the model response in the stochastic space on a triangular grid with quadratic reconstruction on the elements. Limiting reduces the reconstruction to linear in the presence of discontinuities, and the mesh is refined using the Hessian of the response as an indicator. T作者: 尊嚴(yán) 時間: 2025-3-26 02:13 作者: 獨(dú)行者 時間: 2025-3-26 07:44 作者: humectant 時間: 2025-3-26 11:57
Essentially Non-oscillatory Stencil Selection and Subcell Resolution in Uncertainty Quantification,cs are extended to uncertainty quantification for the reliable approximation of discontinuities in stochastic computational problems. These two robustness principles are introduced into the simplex stochastic collocation uncertainty quantification method, which discretizes the probability space usin作者: AWE 時間: 2025-3-26 16:43
Book 2013lume addresses the pertinent issue of efficiently computing the flow uncertainty, given this initial randomness. It collects seven original review articles that cover improved versions of the Monte Carlo method (the so-called multi-level Monte Carlo method (MLMC)), moment-based stochastic Galerkin m作者: Concrete 時間: 2025-3-26 17:31
1439-7358 cal examples as verification of the proposed methods and theFluid flows are characterized by uncertain inputs such as random initial data, material and flux coefficients, and boundary conditions. The current volume addresses the pertinent issue of efficiently computing the flow uncertainty, given th作者: SOW 時間: 2025-3-26 22:44 作者: declamation 時間: 2025-3-27 04:36 作者: Decibel 時間: 2025-3-27 06:59 作者: Diastole 時間: 2025-3-27 10:46
Bruno Després,Ga?l Po?tte,Didier Lucorthe different techniques and results in the large field of renorming in Banach spaces and its applications. The reader will find a self-contained exposition of the basics on convexity and differentiability, the classical results in building equivalent norms with useful properties, and the evolution 作者: 相同 時間: 2025-3-27 15:54 作者: 成份 時間: 2025-3-27 19:29
Chris Lacor,Cristian Dinescu,Charles Hirsch,Sergey Smirnova producible factor, and entrepreneurship. Rents depend on a scarce factor, either nonproducible, non-reproducible or non-reproduced, and ownership. It could therefore appear advisable to deal with rents and profits separately. In particular, considering rent alone would seem the natural corollary o作者: 裝飾 時間: 2025-3-28 00:12
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