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Practical scientific computing /

Scientific computing is about developing mathematical models, numerical methods and computer implementations to study and solve real problems in science, engineering, business and even social sciences. Mathematical modelling requires deep understanding of classical numerical methods. This essential...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Muhammad, Ali (Autor), Zalizniak, Victor (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Oxford, UK ; Philadelphia : Woodhead Pub., 2011.
Colección:Woodhead Publishing in mathematics.
Temas:
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)

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520 |a Scientific computing is about developing mathematical models, numerical methods and computer implementations to study and solve real problems in science, engineering, business and even social sciences. Mathematical modelling requires deep understanding of classical numerical methods. This essential guide provides the reader with sufficient foundations in these areas to venture into more advanced texts. The first section of the book presents numEclipse, an open source tool for numerical computing based on the notion of MATLABi. numEclipse is implemented as a plug-in for Eclipse, a leading integrated development environment for Java programming. The second section studies the classical methods of numerical analysis. Numerical algorithms and their implementations are presented using numEclipse. Practical scientific computing is an invaluable reference for undergraduate engineering, science and mathematics students taking numerical methods courses. It will also be a useful handbook for postgraduate researchers and professionals whose work involves scientific computing. An invaluable reference for undergraduate engineering, science and mathematics students taking numerical methods coursesGuides the reader through developing a deep understanding of classical numerical methodsFeatures a comprehensive analysis of numEclipse including numerical algorithms and their implementations. 
505 0 |a Part 1 Introduction: Expressions -- Statements -- Programming -- Architecture -- Plotting. Part 2 Solving non-linear equations: Solving systems of linear equations -- Computational eigenvalue problems -- Introduction to finite difference schemes for ordinary differential equations -- Interpolation and approximation. 
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