Multiscale, Nonlinear and Adaptive Approximation II
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Beschreibung
This book presents a collection of high-quality papers in applied and numerical mathematics, as well as approximation theory, all closely related to Wolfgang Dahmen’s scientific contributions. Compiled in honor of his 75th birthday, the papers are written by leading experts and cover topics including nonlinear approximation theory, numerical analysis of partial differential equations, learning theory, and electron microscopy. A unifying theme throughout the collection is the emphasis on a solid mathematical foundation, which serves as the basis for the most efficient numerical algorithms used to simulate complex phenomena.
This book presents a collection of high-quality papers in applied and numerical mathematics, as well as approximation theory, all closely related to Wolfgang Dahmen’s scientific contributions. Compiled in honor of his 75th birthday, the papers are written by leading experts and cover topics including nonlinear approximation theory, numerical analysis of partial differential equations, learning theory, and electron microscopy. A unifying theme throughout the collection is the emphasis on a solid mathematical foundation, which serves as the basis for the most efficient numerical algorithms used to simulate complex phenomena.
Covers topics at the forefront of research in applied and numerical mathematics, as well as approximation theory The contributions range from theoretical foundations to the most efficient implementations and numerical results Demonstrates the use of advanced mathematics for the development of efficient algorithms
Autor*in
Ronald DeVore
Themen in »Multiscale, Nonlinear and Adaptive Approximation II«
multiscale, wavelet and reduced basis methods nonlinear approximation theory adaptive numerical schemes for PDE with parameters or randomness nonlinear, sparse or adaptive approximation learning theory theory on deep learning high-dimensional integrals tensor networks electron microscopy