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Cambridge University Press Cambridge Scattered Data Approximation: 17 Mathematics Book

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Description

Scattered Data Approximation: 17 from Cambridge University Press provides a complete and self-contained introduction to reconstructing multivariate functions from discrete, unstructured data. This text focuses on meshless methods, including radial basis functions, moving least squares, and partitions of unity. Readers will explore practical applications such as surface reconstruction, fluid-structure interaction, and the numerical solution of partial differential equations. The content guides learners from fundamental properties to the current state of the field, making it a valuable resource for those studying applied and computational mathematics.

Key Features

This Cambridge University Press book offers a self-contained introduction to reconstructing multivariate functions from unstructured data.

The text focuses on meshless methods including radial basis functions, moving least squares, and partitions of unity.

Content covers essential applications such as surface reconstruction and fluid-structure interaction.

The material includes guidance on the numerical solution of partial differential equations.

This volume is part of the Cambridge Monographs on Applied and Computational Mathematics series.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
11 February 2010
Listed Since
15 October 2009

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