An Inexact General Descent Method with Applications in Differential Equation-Constrained Optimization
Fuente:
arXiv
Saved in:
| Main Authors: | Macedo, Humberto Gimenes, Bueno, Luís Felipe |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Inexact Newton Methods for Solving Generalized Equations on Riemannian Manifolds
by: Louzeiro, Mauricio S., et al.
Published: (2023)
by: Louzeiro, Mauricio S., et al.
Published: (2023)
The Stochastic Steepest Descent Method for Robust Optimization in Banach Spaces
by: Chada, Neil K., et al.
Published: (2023)
by: Chada, Neil K., et al.
Published: (2023)
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)
Analysis of the SQP Method for Hyperbolic PDE-Constrained Optimization in Acoustic Full Waveform Inversion
by: Ammann, Luis, et al.
Published: (2024)
by: Ammann, Luis, et al.
Published: (2024)
IRKA is a Riemannian Gradient Descent Method
by: Mlinarić, Petar, et al.
Published: (2023)
by: Mlinarić, Petar, et al.
Published: (2023)
Complexity Guarantees for Nonconvex Newton-MR Under Inexact Hessian Information
by: Lim, Alexander, et al.
Published: (2023)
by: Lim, Alexander, et al.
Published: (2023)
A Scalable Interior-Point Gauss-Newton Method for PDE-Constrained Optimization with Bound Constraints
by: Hartland, Tucker, et al.
Published: (2024)
by: Hartland, Tucker, et al.
Published: (2024)
Inexact Gauss-Newton methods with matrix approximation by sampling for nonlinear least-squares and systems
by: Bellavia, Stefania, et al.
Published: (2023)
by: Bellavia, Stefania, et al.
Published: (2023)
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)
BC-ADMM: An Efficient Non-convex Constrained Optimizer with Robotic Applications
by: Pan, Zherong, et al.
Published: (2025)
by: Pan, Zherong, et al.
Published: (2025)
Understanding the PDHG Algorithm via High-Resolution Differential Equations
by: Li, Bowen, et al.
Published: (2024)
by: Li, Bowen, et al.
Published: (2024)
Understanding the ADMM Algorithm via High-Resolution Differential Equations
by: Li, Bowen, et al.
Published: (2024)
by: Li, Bowen, et al.
Published: (2024)
Inexact Adjoint Gradients and Directional Tolerances for Full-Potential Airfoil Optimization
by: Macedo, Humberto Gimenes, et al.
Published: (2026)
by: Macedo, Humberto Gimenes, et al.
Published: (2026)
A Homotopy Framework for Constrained Multiobjective Optimization
by: Ogunleye, Olaoluwa, et al.
Published: (2026)
by: Ogunleye, Olaoluwa, et al.
Published: (2026)
Computational Control of Nonlinear Partial Differential Equations Using Machine Learning
by: Kurbanov, Maximilian, et al.
Published: (2026)
by: Kurbanov, Maximilian, et al.
Published: (2026)
A Block Coordinate Descent Method for Nonsmooth Composite Optimization under Orthogonality Constraints
by: Yuan, Ganzhao
Published: (2023)
by: Yuan, Ganzhao
Published: (2023)
Fast Inexact Bilevel Optimization for Analytical Deep Image Priors
by: Salehi, Mohammad Sadegh, et al.
Published: (2025)
by: Salehi, Mohammad Sadegh, et al.
Published: (2025)
Convergent Proximal Multiblock ADMM for Nonconvex Dynamics-Constrained Optimization
by: Li, Bowen, et al.
Published: (2025)
by: Li, Bowen, et al.
Published: (2025)
A Benamou-Brenier Proximal Splitting Method for Constrained Unbalanced Optimal Transport
by: Nishino, Mao, et al.
Published: (2025)
by: Nishino, Mao, et al.
Published: (2025)
Solutions for Underdetermined Generalized Absolute Value Equations
by: Chen, Cairong, et al.
Published: (2024)
by: Chen, Cairong, et al.
Published: (2024)
Projected Block Coordinate Descent for sparse spike estimation
by: Bénard, Pierre-Jean, et al.
Published: (2024)
by: Bénard, Pierre-Jean, 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)
Approximation of Algebraic Riccati Equations with Generators of Noncompact Semigroups
by: Cheung, James
Published: (2022)
by: Cheung, James
Published: (2022)
Low-Discrepancy Set Post-Processing via Gradient Descent
by: Clément, François, et al.
Published: (2025)
by: Clément, François, et al.
Published: (2025)
An Alternating Direction Method of Multipliers for Topology Optimization
by: Choudhary, Harsh, et al.
Published: (2025)
by: Choudhary, Harsh, et al.
Published: (2025)
An Adaptive Phase-Field Method for Structural Topology Optimization
by: Jin, Bangti, et al.
Published: (2023)
by: Jin, Bangti, et al.
Published: (2023)
Super Gradient Descent: Global Optimization requires Global Gradient
by: Achour, Seifeddine
Published: (2024)
by: Achour, Seifeddine
Published: (2024)
Block Acceleration Without Momentum: On Optimal Stepsizes of Block Gradient Descent for Least-Squares
by: Peng, Liangzu, et al.
Published: (2024)
by: Peng, Liangzu, et al.
Published: (2024)
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)
A Single-Loop Gradient Descent and Perturbed Ascent Algorithm for Nonconvex Functional Constrained Optimization
by: Lu, Songtao
Published: (2022)
by: Lu, Songtao
Published: (2022)
A thorough study of Riemannian Newton's Method
by: da Silva, Caio O., et al.
Published: (2025)
by: da Silva, Caio O., et al.
Published: (2025)
A Natural Primal-Dual Hybrid Gradient Method for Adversarial Neural Network Training on Solving Partial Differential Equations
by: Liu, Shu, et al.
Published: (2024)
by: Liu, Shu, et al.
Published: (2024)
A Simple Introduction to the SiMPL Method for Density-Based Topology Optimization
by: Kim, Dohyun, et al.
Published: (2024)
by: Kim, Dohyun, et al.
Published: (2024)
A New Fast Adaptive Linearized Alternating Direction Multiplier Method for Convex Optimization
by: Wang, Boran
Published: (2024)
by: Wang, Boran
Published: (2024)
Wasserstein Steepest Descent Flows of Discrepancies with Riesz Kernels
by: Hertrich, Johannes, et al.
Published: (2022)
by: Hertrich, Johannes, et al.
Published: (2022)
Stochastic Zeroth-Order Method for Computing Generalized Rayleigh Quotients
by: Bresch, Jonas, et al.
Published: (2025)
by: Bresch, Jonas, et al.
Published: (2025)
Faster Randomized Methods for Orthogonality Constrained Problems
by: Shustin, Boris, et al.
Published: (2021)
by: Shustin, Boris, et al.
Published: (2021)
Control, Optimal Transport and Neural Differential Equations in Supervised Learning
by: Phung, Minh-Nhat, et al.
Published: (2025)
by: Phung, Minh-Nhat, et al.
Published: (2025)
Modeling AdaGrad, RMSProp, and Adam with Integro-Differential Equations
by: Heredia, Carlos
Published: (2024)
by: Heredia, Carlos
Published: (2024)
Mutual Consensus and its Application in Minimum Cost Consensus Models
by: García-Zamora, Diego, et al.
Published: (2025)
by: García-Zamora, Diego, et al.
Published: (2025)
Similar Items
-
Inexact Newton Methods for Solving Generalized Equations on Riemannian Manifolds
by: Louzeiro, Mauricio S., et al.
Published: (2023) -
The Stochastic Steepest Descent Method for Robust Optimization in Banach Spaces
by: Chada, Neil K., et al.
Published: (2023) -
Inexact Projected Preconditioned Gradient Methods with Variable Metrics: General Convergence Theory via Lyapunov Approach
by: Guo, Ruchi, et al.
Published: (2025) -
Analysis of the SQP Method for Hyperbolic PDE-Constrained Optimization in Acoustic Full Waveform Inversion
by: Ammann, Luis, et al.
Published: (2024) -
IRKA is a Riemannian Gradient Descent Method
by: Mlinarić, Petar, et al.
Published: (2023)