:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Stamatatelopoulos, Stamatios, Khan, Shahroz, Kaklis, Panagiotis
Format:	Preprint
Published:	2024
Subjects:	Numerical Analysis
Online Access:	https://arxiv.org/abs/2403.06990
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Physics-Informed Geometric Operators to Support Surrogate, Dimension Reduction and Generative Models for Engineering Design
by: Khan, Shahroz, et al.
Published: (2024)

MOR-T L : A Novel Model Order Reduction Method for Parametrized Problems with Application to Seismic Wave Propagation
by: Besset, Julien, et al.
Published: (2025)

Accelerating Conjugate Gradient Solvers for Homogenization Problems with Unitary Neural Operators
by: Herb, Julius, et al.
Published: (2025)

Trace Ratio vs Ratio Trace Methods for Multidimensional Dimensionality Reduction
by: Zahir, Alaeddine, et al.
Published: (2025)

Generative VS non-Generative Models in Engineering Shape Optimization
by: Usama, Muhammad, et al.
Published: (2024)

Stochastic Optimal Prediction for the Kuramoto-Sivashinsky Equation
by: Stinis, Panagiotis
Published: (2003)

Structure-Preserving and Pressure-Robust PINNs for Incompressible Oseen Problems
by: Mishra, Shiv, et al.
Published: (2026)

Interface Reduction for Elliptic Interface Problems with Conservative Flux Reconstruction
by: Attanayake, C., et al.
Published: (2026)

From Microscopic Damage to Macroscopic Games: A Dimensionality Reduction of Stem Cell Homeostasis
by: Yu, Jiguang, et al.
Published: (2026)

Inverse Coefficient Problem for One-Dimensional Subdiffusion with Data on Disjoint Sets in Time
by: Cen, Siyu, et al.
Published: (2024)

Virtual Element Method Applied to Two Dimensional Axisymmetric Elastic Problems
by: Enabe, Paulo Akira F., et al.
Published: (2025)

Kernel Neural Operators (KNOs) for Scalable, Memory-efficient, Geometrically-flexible Operator Learning
by: Lowery, Matthew, et al.
Published: (2024)

Neural Network Acceleration of Iterative Methods for Nonlinear Schrödinger Eigenvalue Problems
by: Peterseim, Daniel, et al.
Published: (2025)

Mixed Consistent PINNs for Elliptic Obstacle Problems with Stability Analysis
by: Khan, Arbaz, et al.
Published: (2026)

Wave number-Explicit Analysis for Galerkin Discretizations of Lossy Helmholtz Problems
by: Melenk, Jens M., et al.
Published: (2019)

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

On the Gelfand Problem and Viscosity Matrices for Two-Dimensional Hyperbolic Systems of Conservation Laws
by: Chu, Shaoshuai, et al.
Published: (2024)

A Hybrid Finite-Volume Reconstruction Framework for Efficient High-Order Shock-Capturing on Unstructured Meshes
by: Tong, Yiren, et al.
Published: (2025)

Numerical Schemes for 3-Wave Kinetic Equations: A Complete Treatment of the Collision Operator
by: Walton, Steven, et al.
Published: (2024)

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

Model Reduction for Transport-Dominated Problems via Cross-Correlation Based Snapshot Registration
by: Gowrachari, Harshith, et al.
Published: (2025)

An FFT-accelerated PML-BIE Solver for Three-Dimensional Acoustic Wave Scattering in Layered Media
by: Wang, Hangya, et al.
Published: (2024)

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

Physics-Informed Tailored Finite Point Operator Network for Parametric Interface Problems
by: Du, Ting, et al.
Published: (2024)

Parameter-robust Preconditioners for the Stokes-Darcy Coupled Problem without Fractional Operators
by: Boon, Wietse M., et al.
Published: (2025)

A Geometry-Aware Operator Learning Framework for Interface Problems on Varying Domains
by: Xiao, Shanshan, et al.
Published: (2026)

Accelerating Fractional PINNs using Operational Matrices of Derivative
by: Taheri, Tayebeh, et al.
Published: (2024)

Neural Green's Function Accelerated Iterative Methods for Solving Indefinite Boundary Value Problems
by: Li, Shengyan, et al.
Published: (2024)

Calibration-Based ALE Model Order Reduction for Hyperbolic Problems with Self-Similar Travelling Discontinuities
by: Nonino, Monica, et al.
Published: (2024)

New Fully Discrete Active Flux Methods with Truly Multi-Dimensional Evolution Operators and WENO Reconstruction
by: Porfetye, Amelie, et al.
Published: (2025)

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

Adaptive Voronoi-based Column Selection Methods for Interpretable Dimensionality Reduction
by: Emelianenko, Maria, et al.
Published: (2024)

Improved Polynomial Bounds and Acceleration of GMRES by Solving a min-max Problem on Rectangles, and by Deflating
by: Spillane, Nicole, et al.
Published: (2025)

A Posteriori Error Estimation Improved by a Reconstruction Operator for the Stokes Optimal Control Problem
by: Li, Jingshi, et al.
Published: (2025)

Nonlinear RMM-GKS for Large-Scale Dynamic and Streaming Inverse Problems with Uncertain Forward Operators
by: Okunola, Toluwani, et al.
Published: (2026)

Long-time Integration of Nonlinear Wave Equations with Neural Operators
by: Lei, Guanhang, et al.
Published: (2024)

Dimensionality Reduction Techniques for Global Bayesian Optimisation
by: Long, Luo, et al.
Published: (2024)

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

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

On the Convergence of a Spline Collocation Method for Nonlinear Fractional Boundary Value Problems with the Riesz-Caputo Operator
by: Sorgentone, Chiara, et al.
Published: (2026)