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Numerical Modeling and Simulation

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The modeling and simulating of the processes is situated at the border of mathematics and technique of calculation. It deals with the substantiation of the managerial decision with efficiency for the producer, with the help of some flexible technique—mathematics models; they also offer the possibility of using the simulation technique. The modeling offers the manager the rigorous side of his actions, multiple chances of according the existed resources with the aimed objectives for a certain period of time, offering the possibility of a better and faster thinking and deciding, without deforming the reality. The computer's simulations seem to be the most efficient methods of using the computers in physics. Thus, we can notice an encouragement for processes used in research physics: to determine the cause of an effect, in prognosis, to implement the obtained results a.s.o. The greatest part of the simulations covers the Mechanics area and they are projected to fit the learning process. These kinds of simulations are accompanied by users' instructions for usage and some suggestions for learning and problem solving. Some of them are created as virtual labs. The users are allowed to realize other experiments. Within the human civilization, the informatics society represents a stage, a superior way of life; it also implies the usage of the information with all the human activity and existence.
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Document Type: Research Article

Publication date: January 1, 2013

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  • ADVANCED SCIENCE LETTERS is an international peer-reviewed journal with a very wide-ranging coverage, consolidates research activities in all areas of (1) Physical Sciences, (2) Biological Sciences, (3) Mathematical Sciences, (4) Engineering, (5) Computer and Information Sciences, and (6) Geosciences to publish original short communications, full research papers and timely brief (mini) reviews with authors photo and biography encompassing the basic and applied research and current developments in educational aspects of these scientific areas.
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