Introduction to Computational Science-Free-Samples for Students

Question: By understanding the useful of Computational Science, Briefly Explain how Computational Science Can Be Deemed the Crossway of: Computingand networking hardware. Algorithms, Numerical Analysis, and Mathematics. Answer: Introduction Computational science is the use of networks, software, storage devices, algorithms and computers for solving problems, building things, creating knowledge and carrying out simulation (Houstis et al., 2012). This report shows how computational science is the intersection of algorithms, mathematics and numerical analysis, networking and computing hardware. Discussion- Computational Science Computational science is an interdisciplinary and broad discipline. It implies science that is not theoretical or experimental in nature. Computational science needs computers for performing trillions of operations like in case of computational chemistry and computational physics. Other area of this discipline focuses on building and utilizing large databases for storage purpose like in case of bioinformatics and business knowledge management. Some areas need networks for accomplishing goals. Software programming and development are also part of computational science. Figure 1: Computational Science (Source: Csci.psu.edu, 2017, p.1) Computational science makes use of computers for studying and solving scientific problems. It uses and analyzes mathematical models for understanding science. Computational simulation provides quantitative and qualitative insights into complex phenomenon that cannot be solved by analytical methods. Graphic workstations, high speed networks, high performance computers along with advanced algorithms as well as software has changed and improved the way of carrying out scientific investigations (Csci.psu.edu, 2017). Computer simulations have replaced many laboratory experiments. Computer science is different from computational science. The focus of computational science is on engineering and scientific problems. It draws knowledge and idea from computer science as well as mathematics for gaining an effective and improved understanding of complex problems. On the other hand, the focus of computer science is on computers. Computational science also gives value and gains knowledge from some topics and parts of the computer science domain. Computational scientists are mathematicians, engineers and scientists who make use of computer technologies for advancing their domain knowledge in essential and creative ways. Computational scientists generally have proper understanding of implementation and analysis of numerical algorithms and networking technologies (Heermann Burkitt, 2012). They utilize visualization and networking tools and works in intersection of computer science, engineering discipline and mathematics. Numerical simulation in computational science allows the analysis of complex systems that would not have been possible by direct experimentation. Computational science is a multidisciplinary area which combines engineering, computer sciences and mathematics. It is focused on developing problem-solving methods as well as robust tools for finding solution of engineering and scientific problems (Iacs.seas.harvard.edu, 2017). Computational science utilizes the computer software, hardware and mathematical model for solving real problems. It makes use of computer science that deals with theoretical aspects. Computational science also utilizes the knowledge of computer engineering that deals with construction and design of computers. This discipline is considered to be a third leg of science. Computational science is said to play a dominating role in the future for scientific discovery as well as engineering design. Conclusion It can be concluded from this report that computational science is discipline that combines the use of numerical analysis, mathematics, algorithms and networking hardware. This report discussed about how computational science utilizes the knowledge of several discipline for solving complex scientific and engineering problems. References Csci.psu.edu. (2017). Computational Science - Background. Retrieved 11 November 2017, from https://www.csci.psu.edu/background.html Heermann, D. W., Burkitt, A. N. (2012).Parallel algorithms in computational science(Vol. 24). Springer Science Business Media. Houstis, E. N., Rice, J. R., Gallopoulos, E., Bramley, R. (Eds.). (2012).Enabling Technologies for Computational Science: Frameworks, Middleware and Environments(Vol. 548). Springer Science Business Media. Iacs.seas.harvard.edu. (2017). Computational Science and Engineering. Retrieved 11 November2017,fromhttps://iacs.seas.harvard.edu/files/iacs/files/cse_information_session_nov_14_2014.pdf