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Multiscale, Nonlinear and Adaptive Approximation II
Editor
Listed:
- Ronald DeVore(Texas A&M University, Department of Mathematics)Angela Kunoth(University of Cologne, Department of Mathematics and Computer Science, Division of Mathematics)
Abstract
No abstract is available for this item.
Individual chapters are listed in the "Chapters" tab
Suggested Citation
DOI: 10.1007/978-3-031-75802-7
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Book Chapters
The following chapters of this book are listed in IDEAS- Ronald A. DeVore & Angela Kunoth, 2024. "Prologue to Multiscale, Nonlinear and Adaptive Approximation II," Springer Books, in: Ronald DeVore & Angela Kunoth (ed.), Multiscale, Nonlinear and Adaptive Approximation II, pages 1-4, Springer.
- Ronald A. DeVore & Angela Kunoth, 2024. "Introduction: Wolfgang Dahmen’s mathematical work (as of 2009)," Springer Books, in: Ronald DeVore & Angela Kunoth (ed.), Multiscale, Nonlinear and Adaptive Approximation II, pages 5-23, Springer.
- Markus Bachmayr & Albert Cohen, 2024. "Multilevel Representations of Random Fields and Sparse Approximations of Solutions to Random PDEs," Springer Books, in: Ronald DeVore & Angela Kunoth (ed.), Multiscale, Nonlinear and Adaptive Approximation II, pages 25-54, Springer.
- Hassan Ballout & Yvon Maday & Christophe Prud’homme, 2024. "Nonlinear compressive reduced basis approximation for multi-parameter elliptic problem," Springer Books, in: Ronald DeVore & Angela Kunoth (ed.), Multiscale, Nonlinear and Adaptive Approximation II, pages 55-73, Springer.
- Ido Ben Shaul & Shai Dekel, 2024. "Sparse Besov Space Analysis of Representations in Machine Learning," Springer Books, in: Ronald DeVore & Angela Kunoth (ed.), Multiscale, Nonlinear and Adaptive Approximation II, pages 75-97, Springer.
- Benjamin Berkels & Peter Binev, 2024. "Joint Denoising and Line Distortion Correction for Raster-Scanned Image Series," Springer Books, in: Ronald DeVore & Angela Kunoth (ed.), Multiscale, Nonlinear and Adaptive Approximation II, pages 99-114, Springer.
- Dietrich Braess & Wolfgang Hackbusch, 2024. "The Approximation of Cauchy-Stieltjes and Laplace-Stieltjes Functions," Springer Books, in: Ronald DeVore & Angela Kunoth (ed.), Multiscale, Nonlinear and Adaptive Approximation II, pages 115-143, Springer.
- Andrea Bonito & Diane Guignard, 2024. "Approximating Partial Differential Equations without Boundary Conditions," Springer Books, in: Ronald DeVore & Angela Kunoth (ed.), Multiscale, Nonlinear and Adaptive Approximation II, pages 145-176, Springer.
- Albert Cohen & Ronald DeVore & Eitan Tadmor, 2024. "Constructions of Bounded Solutions of $$ \textit{di}\upsilon $$ u = f in Critical Spaces," Springer Books, in: Ronald DeVore & Angela Kunoth (ed.), Multiscale, Nonlinear and Adaptive Approximation II, pages 177-200, Springer.
- Jan-Christopher Cohrs & Benjamin Berkels, 2024. "On the importance of the $$ \varepsilon $$ -regularization of the distribution-dependent Mumford–Shah model for hyperspectral image segmentation," Springer Books, in: Ronald DeVore & Angela Kunoth (ed.), Multiscale, Nonlinear and Adaptive Approximation II, pages 201-222, Springer.
- Ronald DeVore & Guergana Petrova & Przemysław Wojtaszczyk, 2024. "A Note on Best n-term Approximation for Generalized Wiener Classes," Springer Books, in: Ronald DeVore & Angela Kunoth (ed.), Multiscale, Nonlinear and Adaptive Approximation II, pages 223-230, Springer.
- Lars Grasedyck & Sebastian Krämer & Dieter Moser, 2024. "Stable Truncation and Root-Independent Normalization of Tree Tensor Networks," Springer Books, in: Ronald DeVore & Angela Kunoth (ed.), Multiscale, Nonlinear and Adaptive Approximation II, pages 231-265, Springer.
- Diane Guignard & Olga Mula, 2024. "Tree-Based Nonlinear Reduced Modeling," Springer Books, in: Ronald DeVore & Angela Kunoth (ed.), Multiscale, Nonlinear and Adaptive Approximation II, pages 267-298, Springer.
- Helmut Harbrecht & Michael Multerer, 2024. "Samplets: Wavelet Concepts for Scattered Data," Springer Books, in: Ronald DeVore & Angela Kunoth (ed.), Multiscale, Nonlinear and Adaptive Approximation II, pages 299-326, Springer.
- Michael Herty & Adrian Kolb & Siegfried Müller, 2024. "A novel multilevel approach for the efficient computation of random hyperbolic conservation laws," Springer Books, in: Ronald DeVore & Angela Kunoth (ed.), Multiscale, Nonlinear and Adaptive Approximation II, pages 327-346, Springer.
- Kamen G. Ivanov & Gerard Kerkyacharian & George Kyriazis & Pencho Petrushev, 2024. "On the Construction of Bases and Frames with Applications," Springer Books, in: Ronald DeVore & Angela Kunoth (ed.), Multiscale, Nonlinear and Adaptive Approximation II, pages 347-381, Springer.
- Angela Kunoth & Mathias Oster & Reinhold Schneider, 2024. "Towards Continuous Mathematical Models for the Analysis of Classes of Deep Neural Networks," Springer Books, in: Ronald DeVore & Angela Kunoth (ed.), Multiscale, Nonlinear and Adaptive Approximation II, pages 383-403, Springer.
- Dominique Picard, 2024. "Unstoppable Mathematicians," Springer Books, in: Ronald DeVore & Angela Kunoth (ed.), Multiscale, Nonlinear and Adaptive Approximation II, pages 405-417, Springer.
- Reinhold Schneider & Mathias Oster, 2024. "Some Thoughts on Compositional Tensor Networks," Springer Books, in: Ronald DeVore & Angela Kunoth (ed.), Multiscale, Nonlinear and Adaptive Approximation II, pages 419-447, Springer.
- Rob Stevenson, 2024. "Efficient least squares discretizations for Unique Continuation and Cauchy problems," Springer Books, in: Ronald DeVore & Angela Kunoth (ed.), Multiscale, Nonlinear and Adaptive Approximation II, pages 449-460, Springer.
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