Cover Image

Clustering based Multiple Anchors High-Dimensional Model Representation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Xiong, Meixin, Chen, Liuhong, Ming, Ju, Pan, Xingchen, Yan, Xinyu
Format:	Preprint
Published:	2023
Subjects:	Numerical Analysis
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Stochastic variance reduced gradient method for linear ill-posed inverse problems
by: Jin, Qinian, et al.
Published: (2024)

The Kolmogorov Superposition Theorem can Break the Curse of Dimensionality When Approximating High Dimensional Functions
by: Lai, Ming-Jun, et al.
Published: (2021)

Noise-Aware System Identification for High-Dimensional Stochastic Dynamics
by: Guo, Ziheng, et al.
Published: (2024)

Generalization Error Estimates of Machine Learning Methods for Solving High Dimensional Schrödinger Eigenvalue Problems
by: Yu, Hao, et al.
Published: (2024)

Constructive Representation of Functions in $N$-Dimensional Sobolev Space
by: Jagt, Declan S., et al.
Published: (2023)

An efficient solver based on low-rank approximation and Neumann matrix series for unsteady diffusion-type partial differential equations with random coefficients
by: Zhu, Yujun, et al.
Published: (2026)

Pointwise A Posteriori Error Estimators for Multiple and Clustered Eigenvalue Computations
by: Li, Zhenglei, et al.
Published: (2025)

Finite Expression Method with TranNet-based Function Learning for High-Dimensional Partial Differential Equations
by: Huynh, Phuoc-Toan, et al.
Published: (2026)

Deep Picard Iteration for High-Dimensional Nonlinear PDEs
by: Han, Jiequn, et al.
Published: (2024)

Graph-based Semi-supervised Local Clustering with Few Labeled Nodes
by: Shen, Zhaiming, et al.
Published: (2022)

Solving High-Dimensional PDEs Using Linearized Neural Networks
by: Mao, Tong, et al.
Published: (2026)

Computational Techniques for Simulating Natural Convection in Three-Dimensional Enclosures with Tetrahedral Finite Elements
by: Ladipo, Kehinde O., et al.
Published: (2003)

An Optimally Convergent parallel splitting Algorithm for the Multiple-Network Poroelasticity Model
by: Zhao, Jijing, et al.
Published: (2025)

A Two-Level Additive Schwarz Method for Computing Interior Multiple and Clustered Eigenvalues of Symmetric Elliptic Operators
by: Liang, Qigang, et al.
Published: (2026)

Multiple-GPU accelerated high-order gas-kinetic scheme on three-dimensional unstructured meshes
by: Wang, Yuhang, et al.
Published: (2024)

Scalable Fixed-Point Framework for High-Dimensional Hamilton-Jacobi Equations
by: Park, Yesom, et al.
Published: (2026)

Splitting Method for Stochastic Navier-Stokes Equations
by: Zhu, Jie, et al.
Published: (2025)

Hierarchical Tensor Network Structure Search for High-Dimensional Data
by: Guo, Zheng, et al.
Published: (2026)

PDEformer: Towards a Foundation Model for One-Dimensional Partial Differential Equations
by: Ye, Zhanhong, et al.
Published: (2024)

Schur complement based preconditioners for twofold and block tridiagonal saddle point problems
by: Cai, Mingchao, et al.
Published: (2021)

Sinh regularized Lagrangian nonuniform sampling series
by: Jiang, Haixin, et al.
Published: (2026)

Feature Selection Approaches for Newborn Birthweight Prediction in Multiple Linear Regression Models
by: Liu, Esther, et al.
Published: (2024)

PDEformer-1: A Foundation Model for One-Dimensional Partial Differential Equations
by: Ye, Zhanhong, et al.
Published: (2024)

Core-Conditioned Regularized Matrix Tri-Factorization for High-Dimensional Structured Systems
by: Katende, Ronald
Published: (2024)

Deep Policy Iteration for High-Dimensional Mean-Field Games with Regenerative Reformulation
by: Fang, Shuixin, et al.
Published: (2026)

Approximation Theory and Applications of Randomized Neural Networks for Solving High-Dimensional PDEs
by: De Ryck, T., et al.
Published: (2025)

A low-rank solver for the Stokes-Darcy model with random hydraulic conductivity and Beavers-Joseph condition
by: Zhu, Yujun, et al.
Published: (2025)

A Multiple Transferable Neural Network Method with Domain Decomposition for Elliptic Interface Problems
by: Lu, Tianzheng, et al.
Published: (2025)

A novel bond-based nonlocal diffusion model with matrix-valued coefficients in non-divergence form and its collocation discretization
by: Ju, Lili, et al.
Published: (2024)

Unified Learning of the Profile Function in Discrete Keller-Segel Models
by: Chen, Chi-An, et al.
Published: (2025)

A Deep Ritz Method for High-Dimensional Steady States of the Cahn-Hilliard Equation
by: Liu, Yi, et al.
Published: (2026)

Quadrature-Enhanced Monte Carlo fPINN Method for High-Dimensional Fractional PDEs
by: Ma, Qingkui, et al.
Published: (2026)

High-Order Symmetric Positive Interior Quadrature Rules on Two and Three Dimensional Domains
by: Diallo, Moustapha, et al.
Published: (2026)

Numerical Approach for On-the-Fly Active Flow Control via Flow Map Learning Method
by: Liu, Xinyu, et al.
Published: (2026)

PDEformer-2: A Versatile Foundation Model for Two-Dimensional Partial Differential Equations
by: Ye, Zhanhong, et al.
Published: (2025)

Weighted $L_p$-Discrepancy Bounds for Parametric Stratified Sampling and Applications to High-Dimensional Integration
by: Xu, Xiaoda
Published: (2025)

A priori and a posteriori error estimates of a really pressure-robust virtual element method for the incompressible Brinkman problem
by: Xiong, Yu, et al.
Published: (2024)

Numerical Analysis of Finite Dimensional Approximations in Finite Temperature DFT
by: Xu, Ge, et al.
Published: (2024)

Cross Interpolation for Solving High-Dimensional Dynamical Systems on Low-Rank Tucker and Tensor Train Manifolds
by: Ghahremani, Behzad, et al.
Published: (2024)

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