Approximation methods are vital in many challenging applications
of computational science and engineering.
This is a collection of papers from world experts in a broad
variety of relevant applications, including pattern recognition,
machine learning, multiscale modelling of fluid flow, metrology,
geometric modelling, tomography, signal and image processing.
It documents recent theoretical developments which have lead to
new trends in approximation, it gives important computational
aspects and multidisciplinary applications, thus making it a
perfect fit for graduate students and researchers in science and
engineering who wish to understand and develop numerical algorithms
for the solution of their specific problems.
An important feature of the book is that it brings together
modern methods from statistics, mathematical modelling and
numerical simulation for the solution of relevant problems, with a
wide range of inherent scales.
Contributions of industrial mathematicians, including
representatives from Microsoft and Schlumberger, foster the
transfer of the latest approximation methods to real-world
applications.
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