Cover Image

Stochastic Augmented Lagrangian Method in Riemannian Shape Manifolds

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Geiersbach, Caroline, Suchan, Tim, Welker, Kathrin
Format:	Preprint
Published:	2023
Subjects:	Optimization and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Fracture propagation by using shape optimization techniques based on outer Riemannian metrics
by: Suchan, Tim, et al.
Published: (2025)

Shape optimization in the space of piecewise-smooth shapes for the Bingham flow variational inequality
by: Suchan, Tim, et al.
Published: (2024)

A new shape optimization approach for fracture propagation
by: Suchan, Tim, et al.
Published: (2022)

On an optimization framework for damage localization in structures
by: Saleem, Owais, et al.
Published: (2025)

Crack propagation in anisotropic brittle materials: from a phase-field model to a shape optimization approach
by: Suchan, Tim, et al.
Published: (2023)

Sample-Based Consistency in Infinite-Dimensional Conic-Constrained Stochastic Optimization
by: Geiersbach, Caroline, et al.
Published: (2025)

A product shape manifold approach for optimizing piecewise-smooth shapes
by: Pryymak, Lidiya, et al.
Published: (2023)

Two-norm discrepancy and convergence of the stochastic gradient method with application to shape optimization
by: Dambrine, Marc, et al.
Published: (2024)

On the Oracle Complexity of a Riemannian Inexact Augmented Lagrangian Method for Riemannian Nonsmooth Composite Problems
by: Xu, Meng, et al.
Published: (2024)

Adaptive Single-Loop Methods for Stochastic Minimax Optimization on Riemannian Manifolds
by: Wang, Hongye, et al.
Published: (2026)

Distributed Riemannian Stochastic Gradient Tracking Algorithm on the Stiefel Manifold
by: Zhao, Jishu, et al.
Published: (2024)

Intrinsic Decentralized Stochastic Riemannian Optimization on Manifolds with Bounded Sectional Curvature
by: Nguyen, Duc Toan, et al.
Published: (2026)

An Augmented Lagrangian Value Function Method for Lower-level Constrained Stochastic Bilevel Optimization
by: Nie, Hantao, et al.
Published: (2025)

An Adaptive Cubic Regularization quasi-Newton Method on Riemannian Manifolds
by: Louzeiro, Mauricio S., et al.
Published: (2024)

Decentralized Riemannian Conjugate Gradient Method on the Stiefel Manifold
by: Chen, Jun, et al.
Published: (2023)

Learning-Rate-Free Stochastic Optimization over Riemannian Manifolds
by: Dodd, Daniel, et al.
Published: (2024)

Compressed Traffic Assignment with the Augmented Lagrangian Method
by: Xuesong, et al.
Published: (2026)

A Cournot-Nash Model for a Coupled Hydrogen and Electricity Market
by: Dvurechensky, Pavel, et al.
Published: (2024)

Strong Convexity of Sets in Riemannian Manifolds
by: Scieur, Damien, et al.
Published: (2023)

Finite-Time Analysis of Stochastic Nonconvex Nonsmooth Optimization on the Riemannian Manifolds
by: Sahinoglu, Emre, et al.
Published: (2025)

Bregman Linearized Augmented Lagrangian Method for Nonconvex Constrained Stochastic Zeroth-order Optimization
by: Shi, Qiankun, et al.
Published: (2025)

Risk-averse optimal control of random elliptic variational inequalities
by: Alphonse, Amal, et al.
Published: (2022)

Inexact Newton Methods for Solving Generalized Equations on Riemannian Manifolds
by: Louzeiro, Mauricio S., et al.
Published: (2023)

An Adaptive Algorithm for Bilevel Optimization on Riemannian Manifolds
by: Shi, Xu, et al.
Published: (2025)

On Relatively Smooth Optimization over Riemannian Manifolds
by: He, Chang, et al.
Published: (2025)

Two Innovations in Inexact Augmented Lagrangian Methods for Convex Optimization
by: Eckstein, Jonathan, et al.
Published: (2025)

Trajectory Optimization by Successive Pseudospectral Convexification on Riemannian Manifolds
by: Narumi, Tatsuya, et al.
Published: (2025)

Riemannian Optimization Framework on the Generalized Quaternionic Stiefel Manifold
by: Sato, Hiroyuki
Published: (2026)

Adaptive Gradient Descent on Riemannian Manifolds with Nonnegative Curvature
by: Ansari-Önnestam, Aban, et al.
Published: (2025)

Mirror Descent on Riemannian Manifolds
by: Jiang, Jiaxin, et al.
Published: (2026)

Global Convergence Analysis of the Power Proximal Point and Augmented Lagrangian Method
by: Oikonomidis, Konstantinos A., et al.
Published: (2023)

A Customized Augmented Lagrangian Method for Block-Structured Integer Programming
by: Wang, Rui, et al.
Published: (2024)

Scalable Kernel Quantile Regression: A Preconditioned Augmented Lagrangian Method
by: Deng, Shengxiang, et al.
Published: (2025)

Inexact Augmented Lagrangian Methods for Conic Programs: Quadratic Growth and Linear Convergence
by: Liao, Feng-Yi, et al.
Published: (2024)

Riemannian Stochastic Gradient Method for Nested Composition Optimization
by: Zhang, Dewei, et al.
Published: (2022)

Retraction based regression methods on Riemannian manifolds
by: Loayza-Romero, Estefanía, et al.
Published: (2026)

A Riemannian Alternating Descent Ascent Algorithmic Framework for Nonconvex-Linear Minimax Problems on Riemannian Manifolds
by: Xu, Meng, et al.
Published: (2024)

Orientation Determination of Cryo-EM Images Using Block Stochastic Riemannian Subgradient Methods
by: Zhang, Wanyu, et al.
Published: (2024)

An Augmented Lagrangian Method on GPU for Security-Constrained AC Optimal Power Flow
by: Pacaud, François, et al.
Published: (2025)

New Understandings and Computation on Augmented Lagrangian Methods for Low-Rank Semidefinite Programming
by: Ding, Lijun, et al.
Published: (2025)