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• Scattered data interpolation. • Kernel methods and radial basis functions. • Partition of unity methods. • Generation of scattered data sets on the plane and on the sphere. • Spherical interpolation. • Application of radial basis functions in image processing. • Fast algorithms for interpolation of large scattered data sets. • Numerical linear algebra methods in scattered data approximation. SUGGESTED TEXTBOOKS AND READINGS • M. D. Buhmann, Radial Basis Functions: Theory and Implementation, Cambridge Monogr. Appl. Comput. Math., vol. 12, Cambridge Univ. Press, Cambridge, 2003. • G. E. Fasshauer, Meshfree Approximation Methods with Matlab, World Scientific Publishers, Singapore, 2007. • G. Fasshauer, M. McCourt, Kernel-based Approximation Methods using Matlab, World Scientific, Singapore, 2015. • J. Modersitzki, Numerical Methods for Image Registration, Oxford Univ. Press, New York, 2004. • K. Rohr, Landmark-Based Image Analysis, Using Geometric and Intensity Models, Kluwer Academic Publishers, Norwell, MA, 2001. • H. Wendland, Scattered Data Approximation, Cambridge Monogr. Appl. Comput. Math., vol. 17, Cambridge Univ. Press, Cambridge, 2005.

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P.D.2-2 - Marzo

• March 5 at 10:00 am (first meeting) • March 12 at 2:30 pm • March 17 at 10:30 am • March 19 at 2:30 pm • March 24 at 2:30 pm • March 26 at 2:30 pm • March 31 at 10:00 am • April 7 at 10:00 am • April 9 at 10:00 am • April 12 at 9:30 am • April 16 at 10:00 am il link alla pagina Moodle θ il seguente: https://math.i-learn.unito.it/course/view.php?id=1492