Career: A Proposal Regarding the Unification of Data Reduction and Multiresolution Methods for Use in Scientific Visualization and the Education in Scientific Visualization

大规模数据集的实时分析在各种相对论新领域中正变得越来越重要，包括计算海洋学、岩土工程(地震工程)、金属成形(汽车和航空航天工业)、弹性(板梁分析)、铸造、气动弹性、冲击分析(碰撞模拟)和生物医学工程(假体和假牙)。该项目将开发技术和原型软件系统，用于表示和可视化由计算场模拟或物理测量产生的二维和三维时变科学数据集(包括标量场、矢量场和张量场)。正在解决的研究问题包括数据简化、多分辨率方法、样条线表示以及基于三角形和四面体网格的可视化技术或多分辨率表示。这项研究将影响下一代科学可视化系统的设计，该系统支持在三角域上表示的大规模时变数据集的实时绘制

Real-time analysis of large-scale data sets is becoming increasingly important in a variety of relativity new fields, including computational oceanography, geotechnics (earthquake engineering), metal forming (car and aerospace industry), elasticity (analysis of plates and beams), casting, aeroelasticity, impact analysis (crash simulation), and biomedical engineering (protheses and artificial teeth). This project will develop techniques and prototype software systems for the representation and visualization of two-and three-dimensional, time-varying scientific data sets (including scalar, vector, and tensor fields) resulting from computational field simulations or physical measurements. The research issues being addressed are data reduction, multiresolution methods, spline representations, and visualization techniques or multiresolution representations based on triangular and tetrahedral grids. This research will impact the design of next-generation scientific visualization systems supporting real-time rendering of large-scale time varying data sets represented on triangulated domains