This book details classical approximation methods based on orthogonal polynomials and selected modern tools such as splines and wavelets. It uses examples of data sets to explain the tasks, challenges, advantages, and disadvantages of the methods presented.

Lectures on Constructive Approximation: Fourier, Spline, and Wavelet Methods on the Real Line, the Sphere, and the Ball focuses on spherical problems as they occur in the geosciences and medical imaging. It comprises the author's lectures on classical approximation methods based on orthogonal polynomials and selected modern tools such as splines and wavelets.

Methods for approximating functions on the real line are treated first, as they provide the foundations for the methods on the sphere and the ball and are useful for the analysis of time-dependent (spherical) problems. The author then examines the transfer of these spherical methods to problems on the ball, such as the modeling of the Earth's or the brain's interior. Specific topics covered include:

the advantages and disadvantages of Fourier, spline, and wavelet methods
theory and numerics of orthogonal polynomials on intervals, spheres, and balls
cubic splines and splines based on reproducing kernels
multiresolution analysis using wavelets and scaling functions

This textbook is written for students in mathematics, physics, engineering, and the geosciences who have a basic background in analysis and linear algebra. The work may also be suitable as a self-study resource for researchers in the above-mentioned fields.

Combines an explanation of classical and modern approximation methods for Euclidean and spherical geometries Detailed explanations and illustrations included to optimize the understanding of topics Concentrates on the essentials for a course Uses examples of data sets to explain the tasks, challenges, advantages, and disadvantages of the methods presented First work that explicitly treats approximation methods on the ball Includes supplementary material: sn.pub/extras

Autorentext

Dr. Volker Michel teaches at University of Siegen

Inhalt

Introduction: the Problem to be Solved.- Part I Basics.- Basic FundamentalsWhat You Need to Know.- Approximation of Functions on the Real Line.- Part II Approximation on the Sphere.- Basic Aspects.- Fourier Analysis.- Spherical Splines.- Spherical Wavelet Analysis.- Spherical Slepian Functions.- Part III Approximation on the 3D Ball.- Orthonormal Bases.- Splines.- Wavelets for Inverse Problems on the 3D Ball.- The Regularized Functional Matching Pursuit (RFMP).- References.- Index.