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＜電子ブック＞
Fundamentals of Scientific Computing / by Bertil Gustafsson
(Texts in Computational Science and Engineering. ISSN:2197179X ; 8)

版	1st ed. 2011.
出版者	(Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer)
出版年	2011
大きさ	XIV, 326 p : online resource
著者標目	*Gustafsson, Bertil author SpringerLink (Online service)
件　名	LCSH:Mathematics—Data processing LCSH:Bioinformatics LCSH:Engineering mathematics LCSH:Engineering—Data processing LCSH:Mathematical physics LCSH:Computer simulation FREE:Computational Mathematics and Numerical Analysis FREE:Computational Science and Engineering FREE:Computational and Systems Biology FREE:Mathematical and Computational Engineering Applications FREE:Theoretical, Mathematical and Computational Physics FREE:Computer Modelling
一般注記	Part I Models and elementary mathematics -- Part II Fundamentals in numerical analysis -- Part III Numerical methods for differential equations -- Part IV Numerical methods for algebraic equations -- Part V Applications -- References -- Index The book of nature is written in the language of mathematics  -- Galileo Galilei   How is it possible to predict weather patterns for tomorrow, with access solely to today’s weather data? And how is it possible to predict the aerodynamic behavior of an aircraft that has yet to be built? The answer is computer simulations based on mathematical models – sets of equations – that describe the underlying physical properties. However, these equations are usually much too complicated to solve, either by the smartest mathematician or the largest supercomputer. This problem is overcome by constructing an approximation: a numerical model with a simpler structure can be translated into a program that tells the computer how to carry out the simulation. This book conveys the fundamentals of mathematical models, numerical methods and algorithms. Opening with a tutorial on mathematical models and analysis, it proceeds to introduce the most important classes of numerical methods, with finite element, finite difference and spectral methods as central tools. The concluding section describes applications in physics and engineering, including wave propagation, heat conduction and fluid dynamics. Also covered are the principles of computers and programming, including MATLAB® HTTP:URL=https://doi.org/10.1007/978-3-642-19495-5

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