Multiscale, Nonlinear and Adaptive Approximation II / edited by Ronald DeVore, Angela Kunoth.

Format:

Book

Author/Creator:

DeVore, Ronald.

Contributor:

Kunoth, Angela.

Series:

Mathematics and Statistics Series

Language:

English

Subjects (All):

Mathematics--Data processing.

Mathematics.

Approximation theory.

Computational Mathematics and Numerical Analysis.

Approximations and Expansions.

Local Subjects:

Computational Mathematics and Numerical Analysis.

Approximations and Expansions.

Physical Description:

1 online resource (470 pages)

Edition:

1st ed. 2024.

Place of Publication:

Cham : Springer Nature Switzerland : Imprint: Springer, 2024.

Summary:

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.

Contents:

Ronald A. DeVore and Angela Kunoth, Prologue to Multiscale, Nonlinear and Adaptive Approximation II

Ronald A. DeVore and Angela Kunoth, Introduction: Wolfgang Dahmen’s mathematical work (as of 2009)

Markus Bachmayr and Albert Cohen, Multilevel Representations of Random Fields and Sparse Approximations of Solutions to Random PDEs

Hassan Ballout and Yvon Maday and Christophe Prud’homme, Nonlinear compressive reduced basis approximation for multi-parameter elliptic problem

Ido Ben Shaul and Shai Dekel, Sparse Besov Space Analysis of Representations in Machine Learning

Benjamin Berkels and Peter Binev, Joint Denoising and Line Distortion Correction for Raster-Scanned Image Series

Dietrich Braess and Wolfgang Hackbusch, The Approximation of Cauchy-Stieltjes and Laplace-Stieltjes Functions

Andrea Bonito and Diane Guignard, Approximating Partial Differential Equations without Boundary Conditions

Albert Cohen and Ronald DeVore and Eitan Tadmor, Constructions of Bounded Solutions of div u= f in Critical Spaces

Jan-Christopher Cohrs and Benjamin Berkels, On the importance of the ε-regularization of the distribution-dependent Mumford–Shah model for hyperspectral image segmentation

Ronald DeVore, Guergana Petrova and Przemysław Wojtaszczyk, A Note on Best n-term Approximation for Generalized Wiener Classes

Lars Grasedyck, Sebastian Krämer and Dieter Moser, Stable Truncation and Root-Independent Normalization of Tree Tensor Networks

Diane Guignard and Olga Mula, Tree-Based Nonlinear Reduced Modeling

Helmut Harbrecht and Michael Multerer, Samplets: Wavelet Concepts for Scattered Data

Michael Herty, Adrian Kolb, and Siegfried Müller, A novel multilevel approach for the efficient computation of random hyperbolic conservation laws

Kamen G. Ivanov, Gerard Kerkyacharian, George Kyriazis, and Pencho Petrushev, On the Construction of Bases and Frames with Applications

Angela Kunoth and Mathias Oster and Reinhold Schneider, Towards a Continuous Mathematical Model for the Analysis of Classes of Deep Neural Networks

Dominique Picard, Unstoppable Mathematicians

Reinhold Schneider and Mathias Oster, Some Thoughts on Compositional Tensor Networks

Rob Stevenson, Efficient least squares discretizations for Unique Continuation and Cauchy problems.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

9783031758027

3031758021

OCLC:

1475659453