Stochastic Multigrid Method for Blind Ptychographic Phase Retrieval
Fuente:
arXiv
Saved in:
| Main Authors: | Zhang, Borong, Deng, Junjing, Jiang, Yi, Di, Zichao Wendy |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
MAGPIE: Multilevel-Adaptive-Guided Solver for Ptychographic Phase Retrieval
by: Zhang, Borong, et al.
Published: (2025)
by: Zhang, Borong, et al.
Published: (2025)
A Joint Variational Framework for Multimodal X-ray Ptychography and Fluorescence Reconstruction
by: Zou, Chengru Eric, et al.
Published: (2025)
by: Zou, Chengru Eric, et al.
Published: (2025)
A Multigrid Preconditioner for Tensor Product Spline Smoothing
by: Siebenborn, Martin, et al.
Published: (2019)
by: Siebenborn, Martin, et al.
Published: (2019)
Multigrid methods for total variation
by: Guerra, Felipe, et al.
Published: (2025)
by: Guerra, Felipe, et al.
Published: (2025)
Stochastic Zeroth-Order Method for Computing Generalized Rayleigh Quotients
by: Bresch, Jonas, et al.
Published: (2025)
by: Bresch, Jonas, et al.
Published: (2025)
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)
An Adaptive Phase-Field Method for Structural Topology Optimization
by: Jin, Bangti, et al.
Published: (2023)
by: Jin, Bangti, et al.
Published: (2023)
A Primal-dual Forward-backward Splitting Method for Cross-diffusion Gradient Flows with General Mobility Matrices
by: Deng, Yunhong, et al.
Published: (2025)
by: Deng, Yunhong, et al.
Published: (2025)
A Generalized Primal-Dual Correction Method for Saddle-Point Problems with a Nonlinear Coupling Operator
by: Wang, Sai, et al.
Published: (2023)
by: Wang, Sai, et al.
Published: (2023)
Stochastic gradient with least-squares control variates
by: Nobile, Fabio, et al.
Published: (2025)
by: Nobile, Fabio, 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)
Optimal Design of Broadband Absorbers with Multiple Plasmonic Nanoparticles via Reduced Basis Method
by: Gao, Yu, et al.
Published: (2025)
by: Gao, Yu, et al.
Published: (2025)
Block Matrix and Tensor Randomized Kaczmarz Methods for Linear Feasibility Problems
by: Zhang, Minxin, et al.
Published: (2024)
by: Zhang, Minxin, et al.
Published: (2024)
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)
Stochastic variance reduced gradient method for linear ill-posed inverse problems
by: Jin, Qinian, et al.
Published: (2024)
by: Jin, Qinian, et al.
Published: (2024)
Application of quasi-Monte Carlo in Mine Countermeasure Simulations with a Stochastic Optimal Control Framework
by: Blondeel, Philippe, et al.
Published: (2025)
by: Blondeel, Philippe, 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)
Stochastic dual coordinate descent with adaptive heavy ball momentum for linearly constrained convex optimization
by: Zeng, Yun, et al.
Published: (2023)
by: Zeng, Yun, et al.
Published: (2023)
Two-scale neural networks for optimal control of linear convection-dominated equations
by: Liu, Sijing, et al.
Published: (2026)
by: Liu, Sijing, et al.
Published: (2026)
Symplectic Methods in Deep Learning
by: Maslovskaya, Sofya, et al.
Published: (2024)
by: Maslovskaya, Sofya, et al.
Published: (2024)
Mean Field Games for Controlling Coherent Structures in Nonlinear Fluid Systems
by: Gao, Yuan, et al.
Published: (2024)
by: Gao, Yuan, 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)
Adaptive Lipschitz-Free Conditional Gradient Methods for Stochastic Composite Nonconvex Optimization
by: Yuan, Ganzhao
Published: (2026)
by: Yuan, Ganzhao
Published: (2026)
A Trust-Region Interior-Point Stochastic Sequential Quadratic Programming Method
by: Fang, Yuchen, et al.
Published: (2026)
by: Fang, Yuchen, et al.
Published: (2026)
A Unified Phase-Field Fourier Neural Network Framework for Topology Optimization
by: Li, Jing, et al.
Published: (2025)
by: Li, Jing, et al.
Published: (2025)
Error Analysis of Sampling Algorithms for Approximating Stochastic Optimal Control
by: Joshi, Anant A., et al.
Published: (2025)
by: Joshi, Anant A., 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)
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)
Weak Scalability of time parallel Schwarz methods for parabolic optimal control problems
by: Lu, Liu-Di, et al.
Published: (2026)
by: Lu, Liu-Di, et al.
Published: (2026)
Ensemble Kalman Methods: A Mean Field Perspective
by: Calvello, Edoardo, et al.
Published: (2022)
by: Calvello, Edoardo, et al.
Published: (2022)
On the Crouzeix-Raviart Finite Element Approximation of Phase-Field Dependent Topology Optimization in Stokes Flow
by: Jin, Bangti, et al.
Published: (2025)
by: Jin, Bangti, et al.
Published: (2025)
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)
Non-overlapping Schwarz methods in time for parabolic optimal control problems
by: Gander, Martin Jakob, et al.
Published: (2024)
by: Gander, Martin Jakob, et al.
Published: (2024)
From PDEs constrained optimization to controllability problems via time domain decomposition
by: Cocquet, Pierre-Henri, et al.
Published: (2026)
by: Cocquet, Pierre-Henri, et al.
Published: (2026)
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)
An Inexact General Descent Method with Applications in Differential Equation-Constrained Optimization
by: Macedo, Humberto Gimenes, et al.
Published: (2025)
by: Macedo, Humberto Gimenes, et al.
Published: (2025)
Fast and Numerically Stable Implementation of Rate Constant Matrix Contraction Method
by: Hemmi, Shinichi, et al.
Published: (2024)
by: Hemmi, Shinichi, et al.
Published: (2024)
Numerical Methods for Shape Optimal Design of Fluid-Structure Interaction Problems
by: Haubner, Johannes, et al.
Published: (2024)
by: Haubner, Johannes, et al.
Published: (2024)
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)
Error Estimates of the Gain Approximation by Hermite-Galerkin Method in Feedback Particle Filter
by: Wang, Ruoyu, et al.
Published: (2026)
by: Wang, Ruoyu, et al.
Published: (2026)
Similar Items
-
MAGPIE: Multilevel-Adaptive-Guided Solver for Ptychographic Phase Retrieval
by: Zhang, Borong, et al.
Published: (2025) -
A Joint Variational Framework for Multimodal X-ray Ptychography and Fluorescence Reconstruction
by: Zou, Chengru Eric, et al.
Published: (2025) -
A Multigrid Preconditioner for Tensor Product Spline Smoothing
by: Siebenborn, Martin, et al.
Published: (2019) -
Multigrid methods for total variation
by: Guerra, Felipe, et al.
Published: (2025) -
Stochastic Zeroth-Order Method for Computing Generalized Rayleigh Quotients
by: Bresch, Jonas, et al.
Published: (2025)