Cover Image

On projection mappings and the gradient projection method on hyperbolic space forms

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Bergmann, Ronny, Ferreira, Orizon P., Németh, Sandor, Zhu, Jinzhen
Format:	Preprint
Published:	2025
Subjects:	Optimization and Control Numerical Analysis Differential Geometry
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

The Riemannian Convex Bundle Method
by: Bergmann, Ronny, et al.
Published: (2024)

Retraction maps in optimal control of nonholonomic systems
by: Simoes, Alexandre Anahory, et al.
Published: (2025)

Horospherically Convex Optimization on Hadamard Manifolds Part I: Analysis and Algorithms
by: Criscitiello, Christopher, et al.
Published: (2025)

Nonlinear Fenchel Conjugates
by: Schiela, Anton, et al.
Published: (2024)

A Discrete Variational Derivation of Accelerated Methods in Optimization
by: Campos, Cédric M., et al.
Published: (2021)

Geometric Interpolation of Rigid Body Motions
by: Mueller, Andreas
Published: (2025)

The Intrinsic Riemannian Proximal Gradient Method for Nonconvex Optimization
by: Bergmann, Ronny, et al.
Published: (2025)

The Intrinsic Riemannian Proximal Gradient Method for Convex Optimization
by: Bergmann, Ronny, et al.
Published: (2025)

A geometric approach to apriori estimates for optimal transport maps
by: Brendle, Simon, et al.
Published: (2023)

Wave maps from circle to Riemannian manifold: global controllability is equivalent to homotopy
by: Coron, Jean-Michel, et al.
Published: (2025)

Convergence of a particle method for gradient flows on the $L^p$-Wasserstein space
by: Lei, Rong
Published: (2025)

How averaged is the projection?
by: Song, Shuang
Published: (2023)

Momentum-based gradient descent methods for Lie groups
by: Campos, Cédric M., et al.
Published: (2024)

Adaptive projected SOR algorithms for nonnegative quadratic programming
by: Miyatake, Yuto, et al.
Published: (2021)

Newton's method for nonlinear mappings into vector bundles Part II: Application to variational problems
by: Weigl, Laura, et al.
Published: (2025)

Quantitative isoperimetric inequalities for classical capillarity problems
by: Pascale, Giulio, et al.
Published: (2024)

Energy-based Control and Observer Design for higher-order infinite-dimensional Port-Hamiltonian Systems
by: Malzer, Tobias, et al.
Published: (2021)

Asymptotic behavior of a diffused interface volume-preserving mean curvature flow
by: Bonforte, Matteo, et al.
Published: (2024)

Fenchel Duality Theory and A Primal-Dual Algorithm on Riemannian Manifolds
by: Bergmann, Ronny, et al.
Published: (2019)

Limited memory gradient methods for unconstrained optimization
by: Ferrandi, Giulia, et al.
Published: (2023)

Quasioptimal alternating projections and their use in low-rank approximation of matrices and tensors
by: Budzinskiy, Stanislav
Published: (2023)

A numerical method for solving the generalized tangent vector of hyperbolic systems
by: Herty, Michael, et al.
Published: (2024)

Variable projection framework for the reduced-rank matrix approximation problem by weighted least-squares
by: Terray, Pascal
Published: (2025)

The Fascinating World of 2 $\times$ 2 $\times$ 2 Tensors: Its Geometry and Optimization Challenges
by: Brown, Gabriel H., et al.
Published: (2025)

Error bounds for perspective cones of a class of nonnegative Legendre functions
by: Wang, Xiaozhou, et al.
Published: (2025)

A Constructive Cayley Representation of Orthogonal Matrices and Applications to Optimization
by: Biborski, Iwo
Published: (2026)

Constructing Optimal $L_{\infty}$ Star Discrepancy Sets
by: Clément, François, et al.
Published: (2023)

Homotopy Methods for Convex Optimization
by: Klingler, Andreas, et al.
Published: (2024)

Forward-backward splitting in bilaterally bounded Alexandrov spaces
by: von Koch, Heikki, et al.
Published: (2025)

An accelerated gradient method with adaptive restart for convex multiobjective optimization problems
by: Luo, Hao, et al.
Published: (2025)

Total Generalized Variation of the Normal Vector Field and Applications to Mesh Denoising
by: Baumgärtner, Lukas, et al.
Published: (2025)

Dual gradient flow for solving linear ill-posed problems in Banach spaces
by: Jin, Qinian, et al.
Published: (2022)

A perturbed preconditioned gradient descent method for the unconstrained minimization of composite objectives
by: Park, Jea-Hyun, et al.
Published: (2025)

Stochastic variance reduced gradient method for linear ill-posed inverse problems
by: Jin, Qinian, et al.
Published: (2024)

Acceleration via silver step-size on Riemannian manifolds with applications to Wasserstein space
by: Park, Jiyoung, et al.
Published: (2025)

Entropic Selection Principle for Monge's Optimal Transport
by: Aryan, Shrey, et al.
Published: (2025)

Symplectic Stiefel manifold: tractable metrics, second-order geometry and Newton's methods
by: Gao, Bin, et al.
Published: (2024)

Negative curvature obstructs the existence of good barriers for interior-point methods
by: Criscitiello, Christopher, et al.
Published: (2026)

A model-free method for discovering symmetry in differential equations
by: Kreider, Max, et al.
Published: (2025)

An unfitted finite element method for PDE-constrained shape optimization via shape gradient flow
by: Gong, Wei, et al.
Published: (2026)