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Interdisciplinary Mathematical Sciences - 6: Meshfree Approximation Methods with MATLAB (with CD-ROM)

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  • 500pages
  • 18 heures de lecture

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Meshfree approximation methods are a relatively new area of research, and there are only a few books covering it at present. Whereas other works focus almost entirely on theoretical aspects or applications in the engineering field, this book provides the salient theoretical results needed for a basic understanding of meshfree approximation methods.The emphasis here is on a hands-on approach that includes MATLAB routines for all basic operations. Meshfree approximation methods, such as radial basis function and moving least squares method, are discussed from a scattered data approximation and partial differential equations point of view. A good balance is supplied between the necessary theory and implementation in terms of many MATLAB programs, with examples and applications to illustrate key points. Used as class notes for graduate courses at Northwestern University, Illinois Institute of Technology, and Vanderbilt University, this book will appeal to both mathematics and engineering graduate students.

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Interdisciplinary Mathematical Sciences - 6: Meshfree Approximation Methods with MATLAB (with CD-ROM), Gregory E. Fasshauer

Langue
Année de publication
2007
Reliure
(souple),
État du livre
Très bon
Prix
64,99 €

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Titre
Interdisciplinary Mathematical Sciences - 6: Meshfree Approximation Methods with MATLAB (with CD-ROM)
Langue
Anglais
Format
souple
Pages
500
ISBN10
9812706348
ISBN13
9789812706348
Séries
Mots clés
Description
Meshfree approximation methods are a relatively new area of research, and there are only a few books covering it at present. Whereas other works focus almost entirely on theoretical aspects or applications in the engineering field, this book provides the salient theoretical results needed for a basic understanding of meshfree approximation methods.The emphasis here is on a hands-on approach that includes MATLAB routines for all basic operations. Meshfree approximation methods, such as radial basis function and moving least squares method, are discussed from a scattered data approximation and partial differential equations point of view. A good balance is supplied between the necessary theory and implementation in terms of many MATLAB programs, with examples and applications to illustrate key points. Used as class notes for graduate courses at Northwestern University, Illinois Institute of Technology, and Vanderbilt University, this book will appeal to both mathematics and engineering graduate students.