Algorithms for Approximation

Approximation methods are vital in many challenging applications of computational science and engineering. This work is a collection of papers from experts in a broad variety of relevant applications, including pattern recognition, machine learning, multiscale modelling of fluid flow, metrology, geometric modelling, and tomography.