An Abstract Lyapunov Control Optimizer: Local Stabilization and Global Convergence
Fuente:
arXiv
Saved in:
| Main Authors: | Bensaid, Bilel, Poëtte, Gaël, Turpault, Rodolphe |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Convergence of the Iterates for Momentum and RMSProp for Local Smooth Functions: Adaptation is the Key
by: Bensaid, Bilel, et al.
Published: (2024)
by: Bensaid, Bilel, et al.
Published: (2024)
Inexact Projected Preconditioned Gradient Methods with Variable Metrics: General Convergence Theory via Lyapunov Approach
by: Guo, Ruchi, et al.
Published: (2025)
by: Guo, Ruchi, et al.
Published: (2025)
Global Convergence and Error Propagation in Neural Gradient Flows: A Riemannian Optimization Framework
by: Zheng, Shixin, et al.
Published: (2026)
by: Zheng, Shixin, et al.
Published: (2026)
Deep learning algorithms for FBSDEs with jumps: Applications to option pricing and a MFG model for smart grids
by: Alasseur, Clémence, et al.
Published: (2024)
by: Alasseur, Clémence, et al.
Published: (2024)
A Lyapunov Analysis of Accelerated PDHG Algorithms
by: Zeng, Xueying, et al.
Published: (2024)
by: Zeng, Xueying, et al.
Published: (2024)
Global Convergence of High-Order Regularization Methods with Sums-of-Squares Taylor Models
by: Zhu, Wenqi, et al.
Published: (2024)
by: Zhu, Wenqi, et al.
Published: (2024)
Convergent Proximal Multiblock ADMM for Nonconvex Dynamics-Constrained Optimization
by: Li, Bowen, et al.
Published: (2025)
by: Li, Bowen, et al.
Published: (2025)
Affine-Invariant Global Non-Asymptotic Convergence Analysis of BFGS under Self-Concordance
by: Jin, Qiujiang, et al.
Published: (2025)
by: Jin, Qiujiang, et al.
Published: (2025)
Complexities of Armijo-like algorithms in Deep Learning context
by: Bilel, Bensaid
Published: (2024)
by: Bilel, Bensaid
Published: (2024)
Convergence Analysis of an Adaptive Nonconforming FEM for Phase-Field Dependent Topology Optimization in Stokes Flow
by: Jin, Bangti, et al.
Published: (2025)
by: Jin, Bangti, et al.
Published: (2025)
Convergence Analysis for A Stochastic Maximum Principle Based Data Driven Feedback Control Algorithm
by: Liang, Siming, et al.
Published: (2024)
by: Liang, Siming, et al.
Published: (2024)
High-dimensional Optimization with Low Rank Tensor Sampling and Local Search
by: Sozykin, Konstantin, et al.
Published: (2025)
by: Sozykin, Konstantin, et al.
Published: (2025)
Primal-Dual algorithms for Abstract convex functions with respect to quadratic functions
by: Bednarczuk, Ewa, et al.
Published: (2026)
by: Bednarczuk, Ewa, et al.
Published: (2026)
Quantitative Convergences of Lie Group Momentum Optimizers
by: Kong, Lingkai, et al.
Published: (2024)
by: Kong, Lingkai, et al.
Published: (2024)
Tight Convergence Rates in Gradient Mapping for the Difference-of-Convex Algorithm
by: Rotaru, Teodor, et al.
Published: (2025)
by: Rotaru, Teodor, et al.
Published: (2025)
Convergence of differentiable non-monotone schemes for fully nonlinear parabolic equations
by: Nakano, Yumiharu
Published: (2018)
by: Nakano, Yumiharu
Published: (2018)
A Derivative-Free Saddle-search Algorithm With Linear Convergence Rate
by: Du, Qiang, et al.
Published: (2026)
by: Du, Qiang, et al.
Published: (2026)
Convergence analysis of Lie and Strang splitting for operator-valued differential Riccati equations
by: Hansen, Eskil, et al.
Published: (2025)
by: Hansen, Eskil, et al.
Published: (2025)
Convergence analysis of multi-step one-shot methods for linear inverse problems
by: Bonazzoli, Marcella, et al.
Published: (2022)
by: Bonazzoli, Marcella, et al.
Published: (2022)
Convergence of a particle method for gradient flows on the $L^p$-Wasserstein space
by: Lei, Rong
Published: (2025)
by: Lei, Rong
Published: (2025)
Convergence analysis of a stochastic heavy-ball method for linear ill-posed problems
by: Jin, Qinian, et al.
Published: (2024)
by: Jin, Qinian, et al.
Published: (2024)
The Essential Best and Average Rate of Convergence of the Exact Line Search Gradient Descent Method
by: Yu, Thomas
Published: (2023)
by: Yu, Thomas
Published: (2023)
Anderson Acceleration in Nonsmooth Problems: Local Convergence via Active Manifold Identification
by: Li, Kexin, et al.
Published: (2024)
by: Li, Kexin, et al.
Published: (2024)
Lyapunov Analysis For Monotonically Forward-Backward Accelerated Algorithms
by: Fu, Mingwei, et al.
Published: (2024)
by: Fu, Mingwei, et al.
Published: (2024)
Convergence of a steepest descent algorithm in shape optimisation using $W^{1,\infty}$ functions
by: Deckelnick, Klaus, et al.
Published: (2023)
by: Deckelnick, Klaus, et al.
Published: (2023)
Stability and convergence of the penalty formulation for nonlinear magnetostatics
by: Egger, Herbert, et al.
Published: (2024)
by: Egger, Herbert, et al.
Published: (2024)
Super Gradient Descent: Global Optimization requires Global Gradient
by: Achour, Seifeddine
Published: (2024)
by: Achour, Seifeddine
Published: (2024)
State-Dependent Lyapunov Method for Rank-1 Matrix Factorization
by: Moon, Jaehong
Published: (2026)
by: Moon, Jaehong
Published: (2026)
Convergence Analysis of the Upwind Difference Methods for Hamilton-Jacobi-Bellman Equations
by: Inoue, Daisuke, et al.
Published: (2023)
by: Inoue, Daisuke, et al.
Published: (2023)
On Global Rates for Regularization Methods based on Secant Derivative Approximations
by: Cartis, Coralia, et al.
Published: (2025)
by: Cartis, Coralia, et al.
Published: (2025)
Polygonal Faber-Krahn inequality: Local minimality via validated computing
by: Bogosel, Beniamin, et al.
Published: (2024)
by: Bogosel, Beniamin, et al.
Published: (2024)
Optimization methods for solving matrix equations
by: Zhang, Juan, et al.
Published: (2024)
by: Zhang, Juan, et al.
Published: (2024)
Riemannian Optimization and the Hartree-Fock Method
by: da Silva, Caio O.
Published: (2024)
by: da Silva, Caio O.
Published: (2024)
Distributionally Robust Shape and Topology Optimization
by: Dapogny, Charles, et al.
Published: (2025)
by: Dapogny, Charles, et al.
Published: (2025)
Global Optimality Characterizations and Algorithms for Minimizing Quartically-Regularized Third-Order Taylor Polynomials
by: Zhu, Wenqi, et al.
Published: (2025)
by: Zhu, Wenqi, et al.
Published: (2025)
A Homotopy Framework for Constrained Multiobjective Optimization
by: Ogunleye, Olaoluwa, et al.
Published: (2026)
by: Ogunleye, Olaoluwa, et al.
Published: (2026)
An Alternating Direction Method of Multipliers for Topology Optimization
by: Choudhary, Harsh, et al.
Published: (2025)
by: Choudhary, Harsh, et al.
Published: (2025)
Active-Set Identification in Noisy and Stochastic Optimization
by: Curtis, Frank E., et al.
Published: (2025)
by: Curtis, Frank E., et al.
Published: (2025)
A Universal Birkhoff Theory for Fast Trajectory Optimization
by: Ross, I. M.
Published: (2023)
by: Ross, I. M.
Published: (2023)
Complete Characterizations of Well-Posedness in Parametric Composite Optimization
by: Mordukhovich, Boris S., et al.
Published: (2025)
by: Mordukhovich, Boris S., et al.
Published: (2025)
Similar Items
-
Convergence of the Iterates for Momentum and RMSProp for Local Smooth Functions: Adaptation is the Key
by: Bensaid, Bilel, et al.
Published: (2024) -
Inexact Projected Preconditioned Gradient Methods with Variable Metrics: General Convergence Theory via Lyapunov Approach
by: Guo, Ruchi, et al.
Published: (2025) -
Global Convergence and Error Propagation in Neural Gradient Flows: A Riemannian Optimization Framework
by: Zheng, Shixin, et al.
Published: (2026) -
Deep learning algorithms for FBSDEs with jumps: Applications to option pricing and a MFG model for smart grids
by: Alasseur, Clémence, et al.
Published: (2024) -
A Lyapunov Analysis of Accelerated PDHG Algorithms
by: Zeng, Xueying, et al.
Published: (2024)