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Titlebook: Mathematical Modelling; Case Studies and Pro Jim Caldwell,Douglas K. S. Ng Textbook 2004 Springer Science+Business Media Dordrecht 2004 Ana

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書目名稱Mathematical Modelling
副標(biāo)題Case Studies and Pro
編輯Jim Caldwell,Douglas K. S. Ng
視頻videohttp://file.papertrans.cn/627/626367/626367.mp4
叢書名稱Texts in the Mathematical Sciences
圖書封面Titlebook: Mathematical Modelling; Case Studies and Pro Jim Caldwell,Douglas K. S. Ng Textbook 2004 Springer Science+Business Media Dordrecht 2004 Ana
描述Over the past decade there has been an increasing demand for suitable material in the area of mathematical modelling as applied to science, engineering, business and management. Recent developments in computer technology and related software have provided the necessary tools of increasing power and sophistication which have significant implications for the use and role of mathematical modelling in the above disciplines. In the past, traditional methods have relied heavily on expensive experimentation and the building of scaled models, but now a more flexible and cost effective approach is available through greater use of mathematical modelling and computer simulation. In particular, developments in computer algebra, symbolic manipulation packages and user friendly software packages for large scale problems, all have important implications in both the teaching of mathematical modelling and, more importantly, its use in the solution of real world problems. Many textbooks have been published which cover the art and techniques of modelling as well as specific mathematical modelling techniques in specialist areas within science and business. In most of these books the mathematical mater
出版日期Textbook 2004
關(guān)鍵詞Analysis; MATLAB; Maple; Software; Transport; Vibration; computer; linear optimization; mathematics; model; mo
版次1
doihttps://doi.org/10.1007/1-4020-1993-9
isbn_softcover978-90-481-6566-7
isbn_ebook978-1-4020-1993-7Series ISSN 0927-4529
issn_series 0927-4529
copyrightSpringer Science+Business Media Dordrecht 2004
The information of publication is updating

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and scrutinized by conventional analytics procedures. There is a necessity to establish a powerful system for scrutinizing and extracting vital information from this multifaceted data. This chapter presents a technique of utilizing Na?ve Bayes classifier for predicting heart disease. The purpose of
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data can be used for profiling applications behavior and detecting anomalous events that identify unexpected problems in the normal functioning of the system. However, the fast-changing environment of the cloud brings a need for fast and efficient analytic solutions to monitor the cloud system for i
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lity, integrity, and authentication. As it is known, cryptography plays a vital and critical role in achieving the primary aims of security goals, such as authentication, integrity, confidentiality, and no-repudiation. Cryptographic algorithms are developed in order to achieve these goals as discuss
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ve been attracting growing interest, especially in the field of neurobiology. Several investigators have managed to establish persistent infection with a variety of different kinds of viruses of cells of different origin and character. Focussing, for example, on specialized cellular functions playin
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