Tensors provide a powerful language to describe physical phenomena. Consequently, they
have a long tradition in physics and appear in various application areas, either as the final …

A common goal of multivariate visualization is to enable data inspection at discrete points,
while also illustrating larger-scale continuous structures. In diffusion tensor visualization …

Symmetric second-order tensor fields play a central role in scientific and biomedical studies
as well as in image analysis and feature-extraction methods. The utility of displaying tensor …

This paper addresses several issues related to topological analysis of 3D second order
symmetric tensor fields. First, we show that the degenerate features in such data sets form …

Tensors occur in many areas of science and engineering. Especially, they are used to
describe charge, mass and energy transport (ie electrical conductivity tensor, diffusion …

Asymmetric tensor field visualization can provide important insight into fluid flows and solid
deformations. Existing techniques for asymmetric tensor fields focus on the analysis, and …

Analysis of degenerate tensors is a fundamental step in finding the topological structures
and separatrices in tensor fields. Previous work in this area have been limited to analyzing …

The study of stress and strains in soils and structures (solids) help us gain a better
understanding of events such as failure of bridges, dams and buildings, or accumulated …

Acquisition, analysis, and visualization of diffusion tensor magnetic resonance imaging (DT-
MRI) is still an evolving technology. This article reviews the fundamentals of the data …

RAID5 disk arrays provide high performance and high reliability for reasonable cost.
However RAIDS suffers a performance penalty during block updates. We examine the …