Hierarchical Bayesian Learning for Two-Dimensional Turbulent Bottom Gravity Currents

来源 :第八届工业与应用数学国际大会 | 被引量 : 0次 | 上传用户：dlfb

【摘要】

：

　　Bayesian inference in high-dimensional chaotic dynamical systems,such as turbulent fluid flows,is challenging because of the high computational costs in cap

【作者】

：

LinJing[1]LollaTapovan[1]HaleyPatrick[1]LermusiauxPierre[2]

【机构】

：

Massachusetts Inst.of Tech.

【出处】

：

第八届工业与应用数学国际大会

【发表日期】

：

2015年期

下载到本地 , 更方便阅读

下载此文赞助VIP

声明 : 本文档内容版权归属内容提供方 , 如果您对本文有版权争议 , 可与客服联系进行内容授权或下架

论文部分内容阅读

　　Bayesian inference in high-dimensional chaotic dynamical systems,such as turbulent fluid flows,is challenging because of the high computational costs in capturing the multiscale dynamics and integrating over highdimensional state variables to compute posteriors.

其他文献

Analysis of Crystalline Defects

　　I will present a general framework for the analysis of material defects embedded into a homogeneous crystalline environment.A key result in this framework i

会议

Synchronized Control for Multiple Lagrange System

　　With the advances in production,more and more tasks require cooperation in the mechanical systems.The multiple machineries are required to work in cooperati

会议

Recent advances in distributed control of multi-robot systems

　　Recent years have witnessed the rapid development of distributed control of multi-robot systems because the multi-robot system has some distinguished featur

会议

Leader-Follower Flocking Based on Distributed Event-triggered Hybrid Control

　　A novel hybrid control algorithm is proposed in this paper to achieve leader-follower flocking in multi-agent systems.The proposed algorithm only use positi

会议

Containment Control of Continuous-time Linear Multi-agent Systems with Aperiodic Sampling

　　In this paper,the containment control problem of continuous-time linear multi-agent systems is investigated.An aperiodic sampled-data based protocol for con

会议

Analysis of nonsmooth PDE systems with applications to material failure

　　The understanding and modeling of failure processes in solids is a central task in materials sciences.Mathematical models typically result in highly nonline

会议

Tool Orientation Optimization for 5-axis Machining with C-space Method

　　Tool orientations are sensitive for 5-axis machining.In this talk,we will propose new methods to compute the C-spaces and to give the smooth tool orientatio

会议

Avoiding 5-axis Singularities Using Additional Matrix Transformation

　　In 5-axis machining,the inverse kinematics transformation generates singular positions for which incoherent movements of rotary axes appear.Hence,the machin

会议

Mathematics and Algorithms in Computer-Aided Manufacturing,Manufacturing Systems and Numerical Contr

　　The fast development of advanced manufacturing technology has witnessed the growing importance of mathematical methods and algorithms,ranging from algebraic

会议

Stochastic Collocation Methods on Unstructured Meshes and Their Applications to UQ

　　The talk is concerned with the stochastic collocation methods for UQ applications.We will first discuss a general framework of stochastic collocation method

会议

Hierarchical Bayesian Learning for Two-Dimensional Turbulent Bottom Gravity Currents

其他学术论文