[书籍]Scientific Visualization [复制链接]

Scientific Visualization: The Visual Extraction of Knowledge from Data >*n4j:  
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Georges-Pierre Bonneau "s(|pQh;  
Thomas Ertl ltNY8xrdGN  
Gregory M. Nielson ]6O(r)k  
Editors \(`C*d  
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Springer-Verlag Berlin Heidelberg 2006 U:[CcN/~3  
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Scientific Visualization is concerned with techniques that allow scientists and engineers X;#Ni}af  
to extract knowledge from the results of simulations and computations. Advances 2t>>08T  
in scientific computation are allowing mathematical models and simulations BJ fBYH,M  
to become increasingly complex and detailed. This results in a closer approximation t\Qm2Q)>  
to reality thus enhancing the possibility of acquiring new knowledge and understanding. %Q;:nVt  
Tremendously large collections of numerical values, which contain a great deal H6`zzH0"  
of information, are being produced and collected. The problem is to convey all of 2^:iU{  
this information to the scientist so that effective use can be made of the human creative P:1eWP  
and analytic capabilities. This requires a method of communication with a high m#RMd,'X  
bandwidth and an effective interface. Computer generated images and human vision sAZL,w  
mediated by the principles of perceptual psychology are the means used in scientific 0TiDQ4}i[  
visualization to achieve this communication. The foundation material for the BAT.>  
techniques of Scientific Visualization are derived from many areas including, for example, GpR,n2  
computer graphics, image processing, computer vision, perceptual psychology, |O"Pb`V+  
applied mathematics, computer aided design, signal processing and numerical
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analysis. A-$C6q  
This book is based on selected lectures given by leading experts in Scientific ^?0?*  
Visualization during a workshop held at Schloss Dagstuhl, Germany. Topics include Vn_>c#B  
user issues in visualization, large data visualization, unstructured mesh processing 3jto$_3'w  
for visualization, volumetric visualization, flow visualization, medical visualization M.C`nI4  
and visualization systems. The methods of visualizing data developed by Scientific v^[!NygShs  
Visualization researchers presented in this book are having broad impact on the way *0r!eD   
other scientists, engineers and practitioners are processing and understanding their ]2|KG3t  
data from sensors, simulations and mathematics models. 2&AX_#P  
We would like to express our warmest thanks to the authors and referees for their 6k+tO%{~  
hard work. We would also like to thank Fabien Vivodtzev for his help in administering CL t(_!q  
the reviewing and editing process. eQqCRXx  
Grenoble, Georges-Pierre Bonneau %0f*OC  
January 2005 Thomas Ertl i"E_nN"V  
Gregory M. Nielson 7&L8zl|K  
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thanks a lot

不错，不错很好很好。谢谢了呢