Computational Science-Scientific Visualization is an approach to the study of scientific and real world phenomena by extensive use of mathematical modeling, numerical methods and simulation; as well as computer programming and computer visualization techniques. Computational Science-Scientific visualization is not an academic area of study itself. Instead it is a methodology used to study any number of academic discipline areas; especially those that encounter situations involving large or complex data or phenomena which needs to be analyzed, interpreted or visually displayed. Computational Science-Scientific Visualization works well in four major areas of investigations; those involving phenomena or data items considered to be:
| (A) Too Small/ Too Large |
|
(B) Too Fast/ Too Slow, |
| (C) Too Complex | (D) What if? |
Today's high-performance computers, combined with better understanding of
computing environments as well as advances in computer graphics- computer visualization,
have permitted the emergence of Computational Science - Scientific Visualization (CSSV),
which has put the solving of many formally intractable problems within our reach.
Some Other Computational Science Resource Centers - Joint Institute on Computational Science Shodor Foundation Computational Science Institute Krell Institute