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Computational modelling is the use of mathematics, physics and computer science to study the behaviour of complex systems by computer simulation. A computational model contains numerous variables that characterize the system being studied. Simulation is done by adjusting these variables and observing how the changes affect the outcomes predicted by the model. The results of model simulations help researchers make predictions about what will happen in the real system that is being studied in response to changing conditions. Topics like Data Security, Computational Modelling, Data warehouse architectures, Mining algorithm.
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Scope and Importance :
Modelling can expedite research by allowing scientists to conduct thousands of simulated experiments by computer in order to identify the actual physical experiments that are most likely to help the researcher find the solution to the problem being studied.
The Computational Modelling Group brings together researchers and students from many different schools of the University of Southampton. The 947 group members are united by their research and use of computational methods, and apply these tools to advance our understanding of a wide range of topics such as physical sciences, engineering, medicine, society, economy and others.
Researchers at Southampton and their project partners use a variety of computational hardware, ranging from Desktop workstations, GPUs, the local Southampton 8000-core supercomputer Iridis3, and our undergraduate research machine Lyceum, to the national HPC facilities such as HECToR and HPCx.
Market Analysis :
The Computational Modelling market has been achieving strong revenues. The Global Market Statistics shows that it has reached a revenue height of 8.15USD (billion), 9.15 USD (billion) and 3.12 USD (billion) for services, hardware and software, respectively for the year 2013. The global market statistic also shows a revenue forecast for the global big data market from 2011 to 2017. For 2016, the source projects the global big data market is predicted to grow to more than 45 billion U.S. dollars in revenue.
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This page was last updated on 12th Sep, 2015
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