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Algorithms for Approximation: Proceedings of the 5th International Conference, Chester, July 2005

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Approximation methods are of vital importance in many challenging applications from computational science and engineering. This book collects papers from world experts in a broad variety of relevant applications of approximation theory, including pattern recognition and machine learning, multiscale modelling of fluid flow, metrology, geometric modelling, the solution of differential equations, and signal and image processing, to mention a few.

The 30 papers in this volume document new trends in approximation through recent theoretical developments, important computational aspects and multidisciplinary applications, which makes it a perfect text for graduate students and researchers from science and engineering who wish to understand and develop numerical algorithms for solving their specific problems. An important feature of the book is to bring together modern methods from statistics, mathematical modelling and numerical simulation for solving relevant problems with a wide range of inherent scales. Industrial mathematicians, including representatives from Microsoft and Schlumberger make contributions, which fosters the transfer of the latest approximation methods to real-world applications.

This book grew out of the fifth in the conference series on Algorithms for Approximation, which took place from 17th to 21st July 2005, in the beautiful city of Chester in England. The conference was supported by the National Physical Laboratory and the London Mathematical Society, and had around 90 delegates from over 20 different countries.

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