Scientific Visualization: The Visual Extraction of Knowledge from Data _AO0:&
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by cK258mY
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Georges-Pierre Bonneau !kIw835U
Thomas Ertl q3[LnmH
Gregory M. Nielson
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Editors cshUxabB
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Springer-Verlag Berlin Heidelberg 2006 Ky'^AN]
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Scientific Visualization is concerned with techniques that allow scientists and engineers }E=kfMu
to extract knowledge from the results of simulations and computations. Advances ~\/ J&
in scientific computation are allowing mathematical models and simulations Zb1v
to become increasingly complex and detailed. This results in a closer approximation _I!Xr!!)a0
to reality thus enhancing the possibility of acquiring new knowledge and understanding. Q,4F=b
Tremendously large collections of numerical values, which contain a great deal 4a 5n*6G!
of information, are being produced and collected. The problem is to convey all of .d fTv/n
this information to the scientist so that effective use can be made of the human creative 'L m
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and analytic capabilities. This requires a method of communication with a high kj8zWG4KH
bandwidth and an effective interface. Computer generated images and human vision jn7}jWA
mediated by the principles of perceptual psychology are the means used in scientific >hhd9
visualization to achieve this communication. The foundation material for the L=p.@VSZ
techniques of Scientific Visualization are derived from many areas including, for example, ;z?XT\C$
computer graphics, image processing, computer vision, perceptual psychology, mSzwx/3"
applied mathematics, computer aided design, signal processing and numerical 5>=tNbk"s
analysis. Q?>#sN,
This book is based on selected lectures given by leading experts in Scientific OBZ |W**N"
Visualization during a workshop held at Schloss Dagstuhl, Germany. Topics include V.4j?\#%
user issues in visualization, large data visualization, unstructured mesh processing a~%ej.)l
for visualization, volumetric visualization, flow visualization, medical visualization Zu$f[U)X
and visualization systems. The methods of visualizing data developed by Scientific .xx#>Y-\
Visualization researchers presented in this book are having broad impact on the way G^R;~J*TDE
other scientists, engineers and practitioners are processing and understanding their ^4[\-L8Lpq
data from sensors, simulations and mathematics models. GWhZ Mj
We would like to express our warmest thanks to the authors and referees for their I45A$nV#Q
hard work. We would also like to thank Fabien Vivodtzev for his help in administering (kHR$8GFM
the reviewing and editing process. 1_t Dp&UO
Grenoble, Georges-Pierre Bonneau =.%ZF]Oe+#
January 2005 Thomas Ertl 9,Mp/.T" \
Gregory M. Nielson <r kW4
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