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What is Scientific Simulation

Encyclopedia of Information Science and Technology, Fourth Edition
Computation to describe a real world in computer.
Published in Chapter:
Computer-Assisted Parallel Program Generation
Shigeo Kawata (Utsunomiya University, Japan)
Copyright: © 2018 |Pages: 11
DOI: 10.4018/978-1-5225-2255-3.ch398
Abstract
Parallel computation is widely employed in scientific researches, engineering activities and product development. Parallel program writing itself is not always a simple task depending on problems solved. Large-scale scientific computing, huge data analyses and precise visualizations, for example, would require parallel computations, and the parallel computing needs the parallelization techniques. In this Chapter a parallel program generation support is discussed, and a computer-assisted parallel program generation system P-NCAS is introduced. Computer assisted problem solving is one of key methods to promote innovations in science and engineering, and contributes to enrich our society and our life toward a programming-free environment in computing science. Problem solving environments (PSE) research activities had started to enhance the programming power in 1970's. The P-NCAS is one of the PSEs; The PSE concept provides an integrated human-friendly computational software and hardware system to solve a target class of problems.
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More Results
Computer Simulations and Scientific Knowledge Construction
It is a technique of imitating the behavior of an actual or theoretical system by means of an analogous mathematical model. In the simplest sense, a system is a set of interacting identities. The mathematical equations that produce the model represent the various processes taking place within the target system. Currently, simulation uses cover a wide range of applications within the areas of research, analysis studies, system design, training and education, entertainment, and so forth.
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Computer Assisted Problem Solving Environment (PSE)
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