Books > Social sciences > Education
|
Buy Now
The Visualization of Second-Order Tensor Fields (Paperback)
Loot Price: R1,358
Discovery Miles 13 580
|
|
The Visualization of Second-Order Tensor Fields (Paperback)
Expected to ship within 9 - 15 working days
|
The field of scientific visualization covers the study of visual
representations of sci- entific data. These data often consist of
continuous scalar, vector, or second-order tensor fields extending
across a n-dimensional space, with n less than 1. While research
efforts aimed at developing efficient representations of scalar and
vector data have led to important achievements, this dissertation
is the first extensive study of visualization techniques for
second-order tensor fields. Tensor fields are multivariate; they
can embed as much information as n squared scalar fields, or
equivalently, n vector fields. Visualizing continuous tensor data
is, therefore, difficult mainly because the underlying continuity
must be rendered while visual clutter has to be avoided. We develop
a theoretical ground work for the visualization of symmetric tensor
fields by studying their geometry and their topological structure,
and by designing at each step appropriate icons to represent the
information. We also extend some of our concepts to asymmetric
tensor data. First, we design icons that emphasize the continuity
of the tensor data, overcoming some of the limitations of discrete
point icons. A n-dimensional, symmetric tensor field is equivalent
to n orthogonal families of smooth and continuous curves that are
tangent to the eigenvector fields. For n = 2 we generate textures
to render these trajectories, and for n = 3 we use numerical
integration. To fully represent the tensor data, we surround the
resulting trajectories by tubular surfaces that represent the
transverse eigenvectors-we call these surfaces hyper-streamlines.
We also define the concept of a solenoidal tensor field, and we
show that its hyperstreamlines possess geometric properties similar
to the streamlines of solenoidal vector fields. Then, we analyze
the topology of symmetric tensor fields by using a formalism which
is analogous to the phase-space analysis of dynamical systems.
General
Is the information for this product incomplete, wrong or inappropriate?
Let us know about it.
Does this product have an incorrect or missing image?
Send us a new image.
Is this product missing categories?
Add more categories.
Review This Product
No reviews yet - be the first to create one!
|
You might also like..
|
Email address subscribed successfully.
A activation email has been sent to you.
Please click the link in that email to activate your subscription.