:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Guo, Jiaming, Xiao, Dunhui
Format:	Preprint
Published:	2025
Subjects:	Numerical Analysis
Online Access:	https://arxiv.org/abs/2503.00768
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Parametric Probabilistic Manifold Decomposition for Nonlinear Model Reduction
by: Guo, Jiaming, et al.
Published: (2026)

Nonlinear Model Order Reduction on Quadratic Manifolds via Greedy Algorithms with Dimension-Dependent Regularization
by: Ji, Lijie, et al.
Published: (2026)

Fast Quadratic Manifold Learning For Nonlinear Dimensionality Reduction in Large-scale Systems using Riemannian Optimization
by: Paxton, Gavin, et al.
Published: (2026)

Local Reduced-Order Modeling for Electrostatic Plasmas by Physics-Informed Solution Manifold Decomposition
by: Tsai, Ping-Hsuan, et al.
Published: (2023)

Craig-Bampton-based Quadratic Manifold for Nonlinear Substructuring
by: Saccani, Alexander, et al.
Published: (2026)

Neural Multiscale Decomposition for Solving The Nonlinear Klein-Gordon Equation with Time Oscillation
by: Liang, Zhangyong, et al.
Published: (2025)

Entropy-Stable Model Reduction of One-Dimensional Hyperbolic Systems using Rational Quadratic Manifolds
by: Klein, Robin, et al.
Published: (2024)

Manifold-based Algorithms for the Hadamard Decomposition
by: Gillis, Nicolas, et al.
Published: (2026)

Domain Decomposition Subspace Neural Network Method for Solving Linear and Nonlinear Partial Differential Equations
by: Fu, Zhenxing, et al.
Published: (2025)

Manifold Function Encoder: Identifying Different Functions Defined on Different Manifolds
by: Hu, Jun, et al.
Published: (2025)

Practicable Simulation-Free Model Order Reduction by Nonlinear Moment Matching
by: Varona, Maria Cruz, et al.
Published: (2019)

A Second-Order Nonlocal Approximation to Manifold Poisson Models with Neumann Boundary
by: Zhang, Yajie, et al.
Published: (2024)

Nonlinear Model Reduction to Random Spectral Submanifolds in Random Vibrations
by: Xu, Zhenwei, et al.
Published: (2024)

Tree-Based Nonlinear Reduced Modeling
by: Guignard, Diane, et al.
Published: (2024)

Nonlinear Dimensionality Reduction Techniques for Bayesian Optimization
by: Long, Luo, et al.
Published: (2025)

Randomized Quaternion UTV Decomposition and Randomized Quaternion Tensor UTV Decomposition
by: Yang, Liqiao, et al.
Published: (2024)

Generalization Error Analysis of Deep Backward Dynamic Programming for Solving Nonlinear PDEs
by: Ouyang, Du, et al.
Published: (2024)

Tensor Train Decomposition for Adversarial Attacks on Computer Vision Models
by: Chertkov, Andrei, et al.
Published: (2023)

Functional Analysis and Parallel Domain Decomposition for the TV-Stokes Model
by: Langer, Andreas, et al.
Published: (2026)

A Structure-Preserving Domain Decomposition Method for Data-Driven Modeling
by: Jiang, Shuai, et al.
Published: (2024)

Stochastic gradient descent based variational inference for infinite-dimensional inverse problems
by: Sui, Jiaming, et al.
Published: (2025)

Trace Ratio Based Manifold Learning with Tensor Data
by: Bouallala, Mohammed, et al.
Published: (2024)

Group Sparse-based Tensor CP Decomposition: Model, Algorithms, and Applications in Chemometrics
by: Wang, Zihao, et al.
Published: (2025)

Generative Models for Parameter Space Reduction applied to Reduced Order Modelling
by: Padula, Guglielmo, et al.
Published: (2025)

Nyström Approximation on Manifolds
by: Nie, Hantao, et al.
Published: (2026)

Arnoldi-Enhanced Multivariate Hermite Interpolation of Manifold-Valued Data
by: Li, Yuxuan, et al.
Published: (2026)

Universal Solution to Kronecker Product Decomposition
by: Cheng, Daizhan
Published: (2025)

Nested Bregman Iterations for Decomposition Problems
by: Wolf, Tobias, et al.
Published: (2024)

Guided Variational Network for Image Decomposition
by: Lanza, Alessandro, et al.
Published: (2026)

Novel Product Manifold Modeling and Orthogonality-Constrained Neural Network Solver for Parameterized Generalized Inverse Eigenvalue Problems
by: Zhang, Shuai, et al.
Published: (2026)

Model Order Reduction Techniques for the Stochastic Finite Volume Method
by: Qu, Ray, et al.
Published: (2025)

Two-step Generalized RBF-Generated Finite Difference Method on Manifolds
by: Li, Rongji, et al.
Published: (2025)

Dual Core-EP Generalized Inverse and Decomposition
by: Sitha, Bibekananda, et al.
Published: (2025)

Bi-fidelity Interpolative Decomposition for Multimodal Data
by: Cutforth, Murray, et al.
Published: (2025)

Hybrid Localized Spectral Decomposition for multiscale problems
by: Madureira, Alexandre L., et al.
Published: (2017)

Probabilistic error analysis of limited-precision stochastic rounding
by: Arar, El-Mehdi El, et al.
Published: (2024)

Bayesian Inference for a Time-Fractional HIV Model with Nonlinear Diffusion
by: BenSalah, Mohamed, et al.
Published: (2025)

Beyond Gaussian Assumptions: A Nonlinear Generalization of Linear Inverse Modeling
by: Lien, Justin, et al.
Published: (2025)

Parametric Model Order Reduction by Box Clustering with Applications in Mechatronic Systems
by: Vargas-Fajardo, Juan Angelo, et al.
Published: (2025)

Likelihood-informed Model Reduction for Bayesian Inference of Static Structural Loads
by: Scheffels, Jakob, et al.
Published: (2025)