Saved in:
| Main Authors: | Jin, Bangti, Lu, Xiliang, Quan, Qimeng, Zhou, Zhi |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2405.10708 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Numerical Analysis of Unsupervised Learning Approaches for Parameter Identification in PDEs
by: Cen, Siyu, et al.
Published: (2025)
by: Cen, Siyu, et al.
Published: (2025)
Conditional Stability and Numerical Reconstruction of a Parabolic Inverse Source Problem Using Carleman Estimates
by: Hu, Tianhao, et al.
Published: (2025)
by: Hu, Tianhao, et al.
Published: (2025)
Regularity Analysis and High-Order Time Stepping Scheme for Quasilinear Subdiffusion
by: Jin, Bangti, et al.
Published: (2024)
by: Jin, Bangti, et al.
Published: (2024)
Stochastic Convergence Analysis of Inverse Potential Problem
by: Jin, Bangti, et al.
Published: (2024)
by: Jin, Bangti, et al.
Published: (2024)
Numerical Analysis of Space-Time Dependent Source Identification in Subdiffusion Equations
by: Cen, Siyu, et al.
Published: (2026)
by: Cen, Siyu, et al.
Published: (2026)
Simultaneous Identification of Coefficients and Source in a Subdiffusion Equation from One Passive Measurement
by: Deng, Maolin, et al.
Published: (2025)
by: Deng, Maolin, et al.
Published: (2025)
Numerical Approximation and Analysis of the Inverse Robin Problem Using the Kohn-Vogelius Method
by: Burman, Erik, et al.
Published: (2025)
by: Burman, Erik, et al.
Published: (2025)
Imaging Anisotropic Conductivity from Internal Measurements with Mixed Least-Squares Deep Neural Networks
by: Cen, Siyu, et al.
Published: (2024)
by: Cen, Siyu, et al.
Published: (2024)
Inverse Coefficient Problem for One-Dimensional Subdiffusion with Data on Disjoint Sets in Time
by: Cen, Siyu, et al.
Published: (2024)
by: Cen, Siyu, et al.
Published: (2024)
Point Source Identification in Subdiffusion from A Posteriori Internal Measurement
by: Huang, Kuang, et al.
Published: (2024)
by: Huang, Kuang, et al.
Published: (2024)
Optimizing Coarse Propagators in Parareal Algorithms
by: Jin, Bangti, et al.
Published: (2023)
by: Jin, Bangti, et al.
Published: (2023)
Solving Poisson Problems in Polygonal Domains with Singularity Enriched Physics Informed Neural Networks
by: Hu, Tianhao, et al.
Published: (2023)
by: Hu, Tianhao, et al.
Published: (2023)
Numerical Approaches for Identifying the Time-Dependent Potential Coefficient in the Diffusion Equation
by: Altybay, Arshyn, et al.
Published: (2025)
by: Altybay, Arshyn, et al.
Published: (2025)
Point Source Identification Using Singularity Enriched Neural Networks
by: Hu, Tianhao, et al.
Published: (2024)
by: Hu, Tianhao, et al.
Published: (2024)
Numerical Identification of a Time-Dependent Coefficient in a Time-Fractional Diffusion Equation with Integral Constraints
by: Altybay, Arshyn
Published: (2025)
by: Altybay, Arshyn
Published: (2025)
Stable Determination and Reconstruction of a Quasilinear Term in an Elliptic Equation
by: Choy, Jason, et al.
Published: (2025)
by: Choy, Jason, et al.
Published: (2025)
Solving Inverse Acoustic Obstacle Scattering Problem with Phaseless Far-Field Measurement Using Deep Neural Network Surrogates
by: Fan, Yuxin, et al.
Published: (2025)
by: Fan, Yuxin, et al.
Published: (2025)
On the convergence of stochastic variance reduced gradient for linear inverse problems
by: Jin, Bangti, et al.
Published: (2025)
by: Jin, Bangti, et al.
Published: (2025)
Early Stopping of Untrained Convolutional Neural Networks
by: Jahn, Tim, et al.
Published: (2024)
by: Jahn, Tim, et al.
Published: (2024)
Numerical Method for Space-Time Fractional Diffusion: A Stochastic Approach
by: Cui, Tengteng, et al.
Published: (2025)
by: Cui, Tengteng, et al.
Published: (2025)
Solving Elliptic Optimal Control Problems via Neural Networks and Optimality System
by: Dai, Yongcheng, et al.
Published: (2023)
by: Dai, Yongcheng, et al.
Published: (2023)
On the contraction rate of the posterior distribution for nonlinear PDE parameter identification
by: Fan, Yuxin, et al.
Published: (2026)
by: Fan, Yuxin, et al.
Published: (2026)
Convergence of Stochastic Gradient Methods for Wide Two-Layer Physics-Informed Neural Networks
by: Jin, Bangti, et al.
Published: (2025)
by: Jin, Bangti, et al.
Published: (2025)
On the uniqueness of the discrete Calderon problem on multi-dimensional lattices
by: Deng, Maolin, et al.
Published: (2025)
by: Deng, Maolin, et al.
Published: (2025)
Numerical Homogenization of Landau-Lifshitz Equation with Rough Coefficients
by: Ma, Zetao, et al.
Published: (2025)
by: Ma, Zetao, et al.
Published: (2025)
Theory and Fast Learned Solver for $\ell^1$-TV Regularization
by: Liu, Xinling, et al.
Published: (2024)
by: Liu, Xinling, et al.
Published: (2024)
A Stable Iterative Direct Sampling Method for Elliptic Inverse Problems with Partial Cauchy Data
by: Jin, Bangti, et al.
Published: (2025)
by: Jin, Bangti, et al.
Published: (2025)
An Iterative Direct Sampling Method for Reconstructing Moving Inhomogeneities in Parabolic Problems
by: Jin, Bangti, et al.
Published: (2025)
by: Jin, Bangti, et al.
Published: (2025)
Solving Inverse Obstacle Scattering Problem with Latent Surface Representations
by: Chen, Junqing, et al.
Published: (2023)
by: Chen, Junqing, et al.
Published: (2023)
Direct Algorithms for Reconstructing Small Conductivity Inclusions in Subdiffusion
by: Hong, Jiho, et al.
Published: (2025)
by: Hong, Jiho, et al.
Published: (2025)
Stochastic Gradient Descent for Nonlinear Inverse Problems in Banach Spaces
by: Jin, Bangti, et al.
Published: (2026)
by: Jin, Bangti, et al.
Published: (2026)
A Derivative-Orthogonal Wavelet Multiscale Method for 1D Elliptic Equations with Rough Diffusion Coefficients
by: Feng, Qiwei, et al.
Published: (2024)
by: Feng, Qiwei, et al.
Published: (2024)
On an Inverse Problem of the Generalized Bathtub Model of Network Trip Flows
by: Huang, Kuang, et al.
Published: (2024)
by: Huang, Kuang, et al.
Published: (2024)
GraHTP: A Provable Newton-like Algorithm for Sparse Phase Retrieval
by: Dai, Licheng, et al.
Published: (2024)
by: Dai, Licheng, et al.
Published: (2024)
The discrete inverse conductivity problem solved by the weights of an interpretable neural network
by: Beretta, Elena, et al.
Published: (2024)
by: Beretta, Elena, et al.
Published: (2024)
Space-Time Spectral Element Tensor Network Approach for Time Dependent Convection Diffusion Reaction Equation with Variable Coefficients
by: Adak, Dibyendu, et al.
Published: (2024)
by: Adak, Dibyendu, et al.
Published: (2024)
Shallow neural network yields regularization for ill-posed inverse problems
by: Wang, Lan, et al.
Published: (2025)
by: Wang, Lan, et al.
Published: (2025)
Iterative Direct Sampling Method for Elliptic Inverse Problems with Limited Cauchy Data
by: Ito, Kazufumi, et al.
Published: (2025)
by: Ito, Kazufumi, et al.
Published: (2025)
Sylvester-Preconditioned Adaptive-Rank Implicit Time Integrators for Advection-Diffusion Equations with Variable Coefficients
by: Kahza, Hamad El, et al.
Published: (2024)
by: Kahza, Hamad El, et al.
Published: (2024)
An Iterative Deep Ritz Method for Monotone Elliptic Problems
by: Hu, Tianhao, et al.
Published: (2025)
by: Hu, Tianhao, et al.
Published: (2025)
Similar Items
-
Numerical Analysis of Unsupervised Learning Approaches for Parameter Identification in PDEs
by: Cen, Siyu, et al.
Published: (2025) -
Conditional Stability and Numerical Reconstruction of a Parabolic Inverse Source Problem Using Carleman Estimates
by: Hu, Tianhao, et al.
Published: (2025) -
Regularity Analysis and High-Order Time Stepping Scheme for Quasilinear Subdiffusion
by: Jin, Bangti, et al.
Published: (2024) -
Stochastic Convergence Analysis of Inverse Potential Problem
by: Jin, Bangti, et al.
Published: (2024) -
Numerical Analysis of Space-Time Dependent Source Identification in Subdiffusion Equations
by: Cen, Siyu, et al.
Published: (2026)