Imagen de Portada

Nonlinear Model Order Reduction on Quadratic Manifolds via Greedy Algorithms with Dimension-Dependent Regularization

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Ji, Lijie, Rashid, Sabrina, Chen, Yanlai, Wang, Zhu
Formato:	Preprint
Publicado:	2026
Materias:	Numerical Analysis
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Greedy Rational Approximation for Frequency-Domain Model Reduction of Parametric LTI Systems
por: Bělík, Filip, et al.
Publicado: (2025)

AAROC: Reduced Over-Collocation Method with Adaptive Time Partitioning and Adaptive Enrichment for Parametric Time-Dependent Equations
por: Ji, Lijie, et al.
Publicado: (2024)

Nonlinear Model Reduction by Probabilistic Manifold Decomposition
por: Guo, Jiaming, et al.
Publicado: (2025)

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

TGPT-PINN: Nonlinear model reduction with transformed GPT-PINNs
por: Chen, Yanlai, et al.
Publicado: (2024)

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

Derivative-informed Graph Convolutional Autoencoder with Phase Classification for the Lifshitz-Petrich Model
por: Chen, Yanlai, et al.
Publicado: (2025)

AAROC: Reduced Over‐Collocation Method With Adaptive Time Partitioning and Adaptive Enrichment for Parametric Time‐Dependent Equations
por: Lijie Ji, et al.
Publicado: (2025)

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

Rate of convergence of Thresholding Greedy Algorithms
por: Temlyakov, V. N.
Publicado: (2023)

A reduced basis warm-start iterative solver for the parameterized linear systems
por: Hou, Shijin, et al.
Publicado: (2023)

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

Some New Convergence Analysis and Applications of POD-Greedy Algorithms
por: Li, Yuwen, et al.
Publicado: (2024)

On stability of Weak Greedy Algorithm in the presence of noise
por: Temlyakov, V. N.
Publicado: (2025)

Quadratic Formula-based Nonlinear Approximation
por: He, Ziqin, et al.
Publicado: (2025)

Random Greedy Fast Block Kaczmarz Method for Solving Large-Scale Nonlinear Systems
por: Ding, Renjie, et al.
Publicado: (2025)

Greedy Algorithm for Neural Networks for Indefinite Elliptic Problems
por: Hong, Qingguo, et al.
Publicado: (2024)

fOGA: Orthogonal Greedy Algorithm for Fractional Laplace Equations
por: Shan, Ruitong, et al.
Publicado: (2024)

Reduced Basis Methods for Parametric Steady-State Radiative Transfer Equation
por: Matsuda, Kimberly, et al.
Publicado: (2025)

Global Optimality Characterizations and Algorithms for Minimizing Quartically-Regularized Third-Order Taylor Polynomials
por: Zhu, Wenqi, et al.
Publicado: (2025)

Fourth-Order Compact FDMs for Steady and Time-Dependent Nonlinear Convection-Diffusion Equations
por: Feng, Qiwei, et al.
Publicado: (2025)

High-order Conservative Discontinuous Galerkin Methods via Implicit Penalization for the Generalized Korteweg-de Vries Equation and the Hirota-Satsuma KdV System
por: Tariq, M. Shan, et al.
Publicado: (2026)

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

Data-driven Model Reduction for Parameter-Dependent Matrix Equations via Operator Inference
por: Wen, Xuelian, et al.
Publicado: (2025)

RGDBEK: Randomized Greedy Double Block Extended Kaczmarz Algorithm with Hybrid Parallel Implementation and Applications
por: Panchal, Aneesh, et al.
Publicado: (2025)

Global Convergence of High-Order Regularization Methods with Sums-of-Squares Taylor Models
por: Zhu, Wenqi, et al.
Publicado: (2024)

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

Greedy techniques for inverse problems
por: Bruno, L. Bruni, et al.
Publicado: (2025)

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

EGPT-PINN: Entropy-enhanced Generative Pre-Trained Physics Informed Neural Networks for parameterized nonlinear conservation laws
por: Ji, Yajie, et al.
Publicado: (2025)

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

ReBaNO: Reduced Basis Neural Operator Mitigating Generalization Gaps and Achieving Discretization Invariance
por: Zheng, Haolan, et al.
Publicado: (2025)

Error Analysis of Randomized Symplectic Model Order Reduction for Hamiltonian systems
por: Herkert, Robin, et al.
Publicado: (2024)

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

Fast Numerical Approximation of Linear, Second-Order Hyperbolic Problems Using Model Order Reduction and the Laplace Transform
por: Henriquez, Fernando, et al.
Publicado: (2024)

A Model Order Reduction Method for Seismic Applications Using the Laplace Transform
por: Henriquez, Fernando, et al.
Publicado: (2026)

Hardware Acceleration for HPS Algorithms in Two and Three Dimensions
por: Melia, Owen, et al.
Publicado: (2025)

Fast Numerical Approximation of Parabolic Problems Using Model Order Reduction and the Laplace Transform
por: Henríquez, Fernando, et al.
Publicado: (2024)

A Higher Order Local Mesh Method for Approximating 1-Laplacians on Unknown Manifolds
por: Peoples, John Wilson, et al.
Publicado: (2024)

A Neural-Enhanced Weak Galerkin Method for Second-Order Elliptic Problems with Low-Regularity Solutions
por: Wang, Chunmei
Publicado: (2026)