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- W2765285377 abstract "Nowadays, when technology and science develop fast, the speed of data processing has become very important. Also, with science developing so broadly, there is an increase in the amount of data being processed for solving complex systems in physics, chemistry, biology, astronomy, seismology, meteorology, medicine, etc. For example, in meteorology, which is a science about the Earth’s atmosphere and the changes that happen within it, some of the main occurrences that are being studied are the amount and kind of precipitation, thunderstorms, tornadoes, tropical cyclones, and typhoons; in order to make the weather forecast as precise as possible, it is necessary to collect large amounts of data whose processing is based on solving dynamic equations as functions of time. It is very important to process large scales of information in a short time and give prediction of possible bad weather conditions in order to save people lives and property in a certain area. This chapter deals with resolving this kinds of problems, that is, it describes principle that is used to process large amounts of data in a short period of time. It will be described on an example of calculating values of a polynomial and rational function on the Maxeler architecture. Polynomials are used in engineering for designing roads, buildings, etc. In economy they are used for modeling patterns of economical growth and in medicine for describing bacterial behavior." @default.
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- W2765285377 date "2017-01-01" @default.
- W2765285377 modified "2023-10-15" @default.
- W2765285377 title "Polynomial and Rational Functions" @default.
- W2765285377 cites W2585196369 @default.
- W2765285377 doi "https://doi.org/10.1007/978-3-319-66128-5_3" @default.
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