[书籍]Scientific Visualization [复制链接]

Scientific Visualization: The Visual Extraction of Knowledge from Data DAYR=s  
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by -;T!d  
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Georges-Pierre Bonneau i{T mn  
Thomas Ertl 1{%3OG^'  
Gregory M. Nielson I$yFCdXr  
Editors LTsX{z  
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Springer-Verlag Berlin Heidelberg 2006 7nsn8WN[  
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Scientific Visualization is concerned with techniques that allow scientists and engineers 5pC+*n.  
to extract knowledge from the results of simulations and computations. Advances zoh%^8?o  
in scientific computation are allowing mathematical models and simulations w~+C.4=7  
to become increasingly complex and detailed. This results in a closer approximation /?(\6Z_A  
to reality thus enhancing the possibility of acquiring new knowledge and understanding. 6b!F7kyg  
Tremendously large collections of numerical values, which contain a great deal LsW7JIQd  
of information, are being produced and collected. The problem is to convey all of K;uO<{a)r  
this information to the scientist so that effective use can be made of the human creative ]Q8[,HTG  
and analytic capabilities. This requires a method of communication with a high G#uD CF,O  
bandwidth and an effective interface. Computer generated images and human vision (*6kYkUK  
mediated by the principles of perceptual psychology are the means used in scientific  DT2uUf  
visualization to achieve this communication. The foundation material for the (3. B\8s  
techniques of Scientific Visualization are derived from many areas including, for example, S1d^mu  
computer graphics, image processing, computer vision, perceptual psychology, :`jB1rI  
applied mathematics, computer aided design, signal processing and numerical goa@e  
analysis. /2s=;tA1  
This book is based on selected lectures given by leading experts in Scientific +)
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Visualization during a workshop held at Schloss Dagstuhl, Germany. Topics include 19#s:nt9  
user issues in visualization, large data visualization, unstructured mesh processing .{\lbI  
for visualization, volumetric visualization, flow visualization, medical visualization nr*nX
  
and visualization systems. The methods of visualizing data developed by Scientific yzH(\ x  
Visualization researchers presented in this book are having broad impact on the way 3haR/YN  
other scientists, engineers and practitioners are processing and understanding their )~> C1<  
data from sensors, simulations and mathematics models. )s-[d_g  
We would like to express our warmest thanks to the authors and referees for their Qk5pRoL_  
hard work. We would also like to thank Fabien Vivodtzev for his help in administering 'sII/sq`(  
the reviewing and editing process. W{@,DQ  
Grenoble, Georges-Pierre Bonneau e@j&c:p(Y  
January 2005 Thomas Ertl GMv.G  
Gregory M. Nielson ?b,4mDptE  
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thanks a lot

不错，不错很好很好。谢谢了呢