ESAIM Proceedings and Surveys最新文献_第9页

Workshop on Compressible Multiphase Flows Derivation, closure laws, thermodynamics 可压缩多相流推导、闭包定律、热力学研讨会

ESAIM Proceedings and Surveys Pub Date : 2019-01-01 DOI: 10.1051/proc/201966000

P. Helluy, J. Hérard, N. Seguin

引用次数: 1

A sparse grid approach to balance sheet risk measurement 资产负债表风险度量的稀疏网格方法

ESAIM Proceedings and Surveys Pub Date : 2018-11-21 DOI: 10.1051/PROC/201965236

Cyril Bénézet, J. Bonnefoy, J. Chassagneux, Shuoqing Deng, Camilo A. Garcia Trillos, L. Lenôtre

引用次数: 0

Mathematical Modeling of Effect Of Microtubule-Targeted Agents On Microtubule Dynamic Instability 微管靶剂对微管动态不稳定性影响的数学建模

ESAIM Proceedings and Surveys Pub Date : 2018-10-17 DOI: 10.1051/PROC/201862186201

A. Barlukova, S. Honoré, F. Hubert

引用次数: 0

Statistical and probabilistic modeling of a cloud of particles coupled with a turbulent fluid 与湍流耦合的粒子云的统计和概率建模

ESAIM Proceedings and Surveys Pub Date : 2018-10-02 DOI: 10.1051/proc/201965401

Ludovic Goudenège, Adam Larat, J. Llobell, M. Massot, David Mercier, O. Thomine, Aymeric Vi'e FR3487, Bacchus, Coffee, EM2C, Cealeti, Coria

{"title":"Statistical and probabilistic modeling of a cloud of particles coupled with a turbulent fluid","authors":"Ludovic Goudenège, Adam Larat, J. Llobell, M. Massot, David Mercier, O. Thomine, Aymeric Vi'e FR3487, Bacchus, Coffee, EM2C, Cealeti, Coria","doi":"10.1051/proc/201965401","DOIUrl":"https://doi.org/10.1051/proc/201965401","url":null,"abstract":"This paper exposes a novel exploratory formalism, the end goal of which is the numerical simulation of the dynamics of a cloud of particles weakly or strongly coupled with a turbulent fluid. Given the large panel of expertise of the list of authors, the content of this paper scans a wide range of connex notions, from the physics of turbulence to the rigorous definition of stochastic processes. Our approach is to develop reduced-order models for the dynamics of both carrying and carried phases which remain consistant within this formalism, and to set up a numerical process to validate these models. The novelties of this paper lie in the gathering of a large panel of mathematical and physical definitions and results within a common framework and an agreed vocabulary (sections 1 and 2), and in some preliminary results and achievements within this context, section 3. While the first three sections have been simplified to the context of a gas field providing that the disperse phase only retrieves energy through drag, the fourth section opens this study to the more complex situation when the disperse phase interacts with the continuous phase as well, in an energy conservative manner. This will allow us to expose the perspectives of the project and to conclude.","PeriodicalId":53260,"journal":{"name":"ESAIM Proceedings and Surveys","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83021480","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A streamline derivative POD-ROM for advection-diffusion-reaction equations 用于平流-扩散-反应方程的流线型导数po - rom

ESAIM Proceedings and Surveys Pub Date : 2018-10-01 DOI: 10.1051/PROC/201864121

S. Rubino

引用次数: 9

Bias behaviour and antithetic sampling in mean-field particle approximations of SDEs nonlinear in the sense of McKean McKean意义下非线性SDEs平均场粒子近似中的偏置行为和反采样

ESAIM Proceedings and Surveys Pub Date : 2018-09-18 DOI: 10.1051/PROC/201965219

Oumaima Bencheikh, B. Jourdain

引用次数: 12

Cell Division And The Pantograph Equation 细胞分裂和受电弓方程

ESAIM Proceedings and Surveys Pub Date : 2018-09-01 DOI: 10.1051/PROC/201862158

B. Brunt, A. Zaidi, T. Lynch

引用次数: 6

Building and Auto-Tuning Computing Kernels: Experimenting with BOAST and StarPU in the GYSELA Code 构建和自动调优计算内核:GYSELA代码中自夸和StarPU的实验

ESAIM Proceedings and Surveys Pub Date : 2018-06-30 DOI: 10.1051/PROC/201863152

Julien Bigot, V. Grandgirard, G. Latu, J. Méhaut, L. F. Millani, C. Passeron, S. Masnada, J. Richard, B. Videau

{"title":"Building and Auto-Tuning Computing Kernels: Experimenting with BOAST and StarPU in the GYSELA Code","authors":"Julien Bigot, V. Grandgirard, G. Latu, J. Méhaut, L. F. Millani, C. Passeron, S. Masnada, J. Richard, B. Videau","doi":"10.1051/PROC/201863152","DOIUrl":"https://doi.org/10.1051/PROC/201863152","url":null,"abstract":"Modeling turbulent transport is a major goal in order to predict confinement performance in a tokamak plasma. The gyrokinetic framework considers a computational domain in five dimensions to look at kinetic issues in a plasma; this leads to huge computational needs. Therefore, optimization of the code is an especially important aspect, especially since coprocessors and complex manycore architectures are foreseen as building blocks for Exascale systems. This project aims to evaluate the applicability of two auto-tuning approaches with the BOAST and StarPU tools on the gysela code in order to circumvent performance portability issues. A specific computation intensive kernel is considered in order to evaluate the benefit of these methods. StarPU enables to match the performance and even sometimes outperform the hand-optimized version of the code while leaving scheduling choices to an automated process. BOAST on the other hand reveals to be well suited to get a gain in terms of execution time on four architectures. Speedups in-between 1.9 and 5.7 are obtained on a cornerstone computation intensive kernel.","PeriodicalId":53260,"journal":{"name":"ESAIM Proceedings and Surveys","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89903406","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Parallel geothermal numerical model with faults and multi-branch wells 断层多分支井平行地热数值模型

ESAIM Proceedings and Surveys Pub Date : 2018-06-01 DOI: 10.1051/PROC/201863109

Laurence Beaude, Thibaud Beltzung, K. Brenner, S. Lopez, R. Masson, F. Smaï, Jean-Frédéric Thebault, F. Xing

{"title":"Parallel geothermal numerical model with faults and multi-branch wells","authors":"Laurence Beaude, Thibaud Beltzung, K. Brenner, S. Lopez, R. Masson, F. Smaï, Jean-Frédéric Thebault, F. Xing","doi":"10.1051/PROC/201863109","DOIUrl":"https://doi.org/10.1051/PROC/201863109","url":null,"abstract":"To answer the need for an efficient and robust geothermal simulation tool going beyond existing code capabilities in terms of geological and physical complexity, we have started to develop a parallel geothermal simulator based on unstructured meshes. The model takes into account complex geology including fault networks acting as major heat and mass transfer corridors and complex physics coupling the mass and energy conservations to the thermodynamical equilibrium between the gas and liquid phases. The objective of this Cemracs project is to focus on well modeling which is a key missing ingredient in our current simulator in order to perform realistic geothermal studies both in terms of monitoring and in terms of history matching. The well is discretized by a set of edges of the mesh in order to represent efficiently slanted or multi-branch wells on unstructured meshes. The connection with the 3D matrix and the 2D fault network at each node of the well is accounted for using Peaceman's approach. The non-isothermal flow model inside the well is based on the usual single unknown approach assuming the hydrostatic and thermodynamical equilibrium inside the well. The parallelization of the well model is implemented in such a way that the assembly of the Jacobian at each Newton step and the computation of the pressure drops inside the well can be done locally on each process without MPI communications.","PeriodicalId":53260,"journal":{"name":"ESAIM Proceedings and Surveys","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85869527","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Cemracs 2017: numerical probabilistic approach to MFG Cemracs 2017: MFG的数值概率方法

ESAIM Proceedings and Surveys Pub Date : 2018-05-07 DOI: 10.1051/PROC/201965084

Andrea Angiuli, Christy V. Graves, Houzhi Li, J. Chassagneux, Franccois Delarue, R. Carmona

{"title":"Cemracs 2017: numerical probabilistic approach to MFG","authors":"Andrea Angiuli, Christy V. Graves, Houzhi Li, J. Chassagneux, Franccois Delarue, R. Carmona","doi":"10.1051/PROC/201965084","DOIUrl":"https://doi.org/10.1051/PROC/201965084","url":null,"abstract":"This project investigates numerical methods for solving fully coupled forward-backward stochastic differential equations (FBSDEs) of McKean-Vlasov type. Having numerical solvers for such mean field FBSDEs is of interest because of the potential application of these equations to optimization problems over a large population, say for instance mean field games (MFG) and optimal mean field control problems. Theory for this kind of problems has met with great success since the early works on mean field games by Lasry and Lions, see [29], and by Huang, Caines, and Malhamé, see [26]. Generally speaking, the purpose is to understand the continuum limit of optimizers or of equilibria (say in Nash sense) as the number of underlying players tends to infinity. When approached from the probabilistic viewpoint, solutions to these control problems (or games) can be described by coupled mean field FBSDEs, meaning that the coefficients depend upon the own marginal laws of the solution. In this note, we detail two methods for solving such FBSDEs which we implement and apply to five benchmark problems. The first method uses a tree structure to represent the pathwise laws of the solution, whereas the second method uses a grid discretization to represent the time marginal laws of the solutions. Both are based on a Picard scheme; importantly, we combine each of them with a generic continuation method that permits to extend the time horizon (or equivalently the coupling strength between the two equations) for which the Picard iteration converges.","PeriodicalId":53260,"journal":{"name":"ESAIM Proceedings and Surveys","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78711095","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 19