Handbook of Variational Methods for Nonlinear Geometric Data
Editor
- Philipp Grohs(University of Vienna, Faculty of Mathematics)Martin Holler(University of Graz, Institute of Mathematics and Scientific Computing)Andreas Weinmann(Hochschule Darmstadt, Department of Mathematics and Natural Sciences)
Abstract
No abstract is available for this item.Individual chapters are listed in the "Chapters" tab
Suggested Citation
- Philipp Grohs & Martin Holler & Andreas Weinmann (ed.), 2020. "Handbook of Variational Methods for Nonlinear Geometric Data," Springer Books, Springer, number 978-3-030-31351-7, March.
Handle: RePEc:spr:sprbok:978-3-030-31351-7
DOI: 10.1007/978-3-030-31351-7
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Book Chapters
The following chapters of this book are listed in IDEAS- Hanne Hardering & Oliver Sander, 2020. "Geometric Finite Elements," Springer Books, in: Philipp Grohs & Martin Holler & Andreas Weinmann (ed.), Handbook of Variational Methods for Nonlinear Geometric Data, chapter 0, pages 3-49, Springer.
- Martin Holler & Andreas Weinmann, 2020. "Non-smooth Variational Regularization for Processing Manifold-Valued Data," Springer Books, in: Philipp Grohs & Martin Holler & Andreas Weinmann (ed.), Handbook of Variational Methods for Nonlinear Geometric Data, chapter 0, pages 51-93, Springer.
- Thomas Vogt & Evgeny Strekalovskiy & Daniel Cremers & Jan Lellmann, 2020. "Lifting Methods for Manifold-Valued Variational Problems," Springer Books, in: Philipp Grohs & Martin Holler & Andreas Weinmann (ed.), Handbook of Variational Methods for Nonlinear Geometric Data, chapter 0, pages 95-119, Springer.
- Johannes Wallner, 2020. "Geometric Subdivision and Multiscale Transforms," Springer Books, in: Philipp Grohs & Martin Holler & Andreas Weinmann (ed.), Handbook of Variational Methods for Nonlinear Geometric Data, chapter 0, pages 121-152, Springer.
- Henrik Schumacher & Max Wardetzky, 2020. "Variational Methods for Discrete Geometric Functionals," Springer Books, in: Philipp Grohs & Martin Holler & Andreas Weinmann (ed.), Handbook of Variational Methods for Nonlinear Geometric Data, chapter 0, pages 153-172, Springer.
- François Gay-Balmaz & Vakhtang Putkaradze, 2020. "Variational Methods for Fluid-Structure Interactions," Springer Books, in: Philipp Grohs & Martin Holler & Andreas Weinmann (ed.), Handbook of Variational Methods for Nonlinear Geometric Data, chapter 0, pages 175-205, Springer.
- Ulrich Böttcher & Benedikt Wirth, 2020. "Convex Lifting-Type Methods for Curvature Regularization," Springer Books, in: Philipp Grohs & Martin Holler & Andreas Weinmann (ed.), Handbook of Variational Methods for Nonlinear Geometric Data, chapter 0, pages 207-233, Springer.
- Christoph Schnörr, 2020. "Assignment Flows," Springer Books, in: Philipp Grohs & Martin Holler & Andreas Weinmann (ed.), Handbook of Variational Methods for Nonlinear Geometric Data, chapter 0, pages 235-260, Springer.
- André Uschmajew & Bart Vandereycken, 2020. "Geometric Methods on Low-Rank Matrix and Tensor Manifolds," Springer Books, in: Philipp Grohs & Martin Holler & Andreas Weinmann (ed.), Handbook of Variational Methods for Nonlinear Geometric Data, chapter 0, pages 261-313, Springer.
- Stephan Huckemann & Benjamin Eltzner, 2020. "Statistical Methods Generalizing Principal Component Analysis to Non-Euclidean Spaces," Springer Books, in: Philipp Grohs & Martin Holler & Andreas Weinmann (ed.), Handbook of Variational Methods for Nonlinear Geometric Data, chapter 0, pages 317-338, Springer.
- Xavier Pennec, 2020. "Advances in Geometric Statistics for Manifold Dimension Reduction," Springer Books, in: Philipp Grohs & Martin Holler & Andreas Weinmann (ed.), Handbook of Variational Methods for Nonlinear Geometric Data, chapter 0, pages 339-359, Springer.
- Iddo Drori, 2020. "Deep Variational Inference," Springer Books, in: Philipp Grohs & Martin Holler & Andreas Weinmann (ed.), Handbook of Variational Methods for Nonlinear Geometric Data, chapter 0, pages 361-376, Springer.
- Xiaoyang Guo & Anuj Srivastava, 2020. "Shape Analysis of Functional Data," Springer Books, in: Philipp Grohs & Martin Holler & Andreas Weinmann (ed.), Handbook of Variational Methods for Nonlinear Geometric Data, chapter 0, pages 379-394, Springer.
- Jingyong Su & Mengmeng Guo & Zhipeng Yang & Zhaohua Ding, 2020. "Statistical Analysis of Trajectories of Multi-Modality Data," Springer Books, in: Philipp Grohs & Martin Holler & Andreas Weinmann (ed.), Handbook of Variational Methods for Nonlinear Geometric Data, chapter 0, pages 395-413, Springer.
- Anirudh Som & Karthikeyan Natesan Ramamurthy & Pavan Turaga, 2020. "Geometric Metrics for Topological Representations," Springer Books, in: Philipp Grohs & Martin Holler & Andreas Weinmann (ed.), Handbook of Variational Methods for Nonlinear Geometric Data, chapter 0, pages 415-441, Springer.
- Gautam Pai & Mor Joseph-Rivlin & Ron Kimmel & Nir Sochen, 2020. "On Geometric Invariants, Learning, and Recognition of Shapes and Forms," Springer Books, in: Philipp Grohs & Martin Holler & Andreas Weinmann (ed.), Handbook of Variational Methods for Nonlinear Geometric Data, chapter 0, pages 443-461, Springer.
- Laurent Younes & Barbara Gris & Alain Trouvé, 2020. "Sub-Riemannian Methods in Shape Analysis," Springer Books, in: Philipp Grohs & Martin Holler & Andreas Weinmann (ed.), Handbook of Variational Methods for Nonlinear Geometric Data, chapter 0, pages 463-495, Springer.
- Orizon P. Ferreira & Maurício S. Louzeiro & Leandro F. Prudente, 2020. "First Order Methods for Optimization on Riemannian Manifolds," Springer Books, in: Philipp Grohs & Martin Holler & Andreas Weinmann (ed.), Handbook of Variational Methods for Nonlinear Geometric Data, chapter 0, pages 499-525, Springer.
- Reshad Hosseini & Suvrit Sra, 2020. "Recent Advances in Stochastic Riemannian Optimization," Springer Books, in: Philipp Grohs & Martin Holler & Andreas Weinmann (ed.), Handbook of Variational Methods for Nonlinear Geometric Data, chapter 0, pages 527-554, Springer.
- Xinru Yuan & Wen Huang & Pierre-Antoine Absil & Kyle A. Gallivan, 2020. "Averaging Symmetric Positive-Definite Matrices," Springer Books, in: Philipp Grohs & Martin Holler & Andreas Weinmann (ed.), Handbook of Variational Methods for Nonlinear Geometric Data, chapter 0, pages 555-575, Springer.
- Knut Hüper & Krzysztof A. Krakowski & Fátima Silva Leite, 2020. "Rolling Maps and Nonlinear Data," Springer Books, in: Philipp Grohs & Martin Holler & Andreas Weinmann (ed.), Handbook of Variational Methods for Nonlinear Geometric Data, chapter 0, pages 577-610, Springer.
- Maximilian Baust & Andreas Weinmann, 2020. "Manifold-Valued Data in Medical Imaging Applications," Springer Books, in: Philipp Grohs & Martin Holler & Andreas Weinmann (ed.), Handbook of Variational Methods for Nonlinear Geometric Data, chapter 0, pages 613-647, Springer.
- Mohamed Daoudi & Juan-Carlos Alvarez Paiva & Anis Kacem, 2020. "The Riemannian and Affine Geometry of Facial Expression and Action Recognition," Springer Books, in: Philipp Grohs & Martin Holler & Andreas Weinmann (ed.), Handbook of Variational Methods for Nonlinear Geometric Data, chapter 0, pages 649-673, Springer.
- James Matuk & Shariq Mohammed & Sebastian Kurtek & Karthik Bharath, 2020. "Biomedical Applications of Geometric Functional Data Analysis," Springer Books, in: Philipp Grohs & Martin Holler & Andreas Weinmann (ed.), Handbook of Variational Methods for Nonlinear Geometric Data, chapter 0, pages 675-701, Springer.
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