math.NA

Papers filed under math.NA on arXiv, each one already summarized by Paperlayer. Open any of them to read the summary beside the original PDF, with every point linked to the line, figure, or table it came from.

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241 to 300 of 952

Quasi-Monte Carlo Feature Maps for Shift-Invariant Kernels
Haim Avron, Vikas Sindhwani, Jiyan Yang +1
stat.MLcs.LGmath.NAarXiv:1412.8293v22014
Deep learning observables in computational fluid dynamics
Kjetil O. Lye, Siddhartha Mishra, Deep Ray
physics.comp-phcs.LGmath.NAarXiv:1903.03040v22019
Superconvergence of a discontinuous Galerkin method for fractional diffusion and wave equations
Kassem Mustapha, William McLean
math.NAarXiv:1206.2686v12012
Linear Systems and Eigenvalue Problems: Open Questions from a Simons Workshop
Noah Amsel, Yves Baumann, Paul Beckman +33
math.NAcs.DSarXiv:2602.05394v32026
Error estimates for physics informed neural networks approximating the Navier-Stokes equations
Tim De Ryck, Ameya D. Jagtap, Siddhartha Mishra
math.NAcs.LGarXiv:2203.09346v22022
LSRN: A Parallel Iterative Solver for Strongly Over- or Under-Determined Systems
Xiangrui Meng, Michael A. Saunders, Michael W. Mahoney
cs.DScs.MSmath.NAarXiv:1109.5981v22011
Selection, Representation, and Execution in Sparse Fourier Neural Operators
Abdul Qadir Ibrahim, Martin Burger
cs.LGmath.NAarXiv:2608.30070v12026
Overcoming the spatial order barrier for nonlinear SPDEs with additive space-time white noise
Lukas Anzeletti, Máté Gerencsér, Helena Kremp
math.NAmath.PRarXiv:2608.28727v12026
Assessment of Numerical Lift Coefficient Data for a Circular Cylinder with Application to Bladeless Turbines
L. Ridgway Scott, Henry von Wahl
physics.flu-dynmath.NAphysics.comp-pharXiv:2609.00850v12026
Accelerating the Improved Arrow--Hurwicz Iteration via the Anderson Algorithm for Steady-State Navier--Stokes Equations
Sinan Ergen, Mustafa Ağgül, Mustafa Türkyılmazoğlu
math.NAarXiv:2609.01288v12026
On the Gram matrix of standard inner products of asymmetrically-weighted Hermite functions
Ruiyang Dai
math.NAmath-pharXiv:2609.01144v12026
High order ADER schemes for a unified first order hyperbolic formulation of continuum mechanics: viscous heat-conducting fluids and elastic solids
Michael Dumbser, Ilya Peshkov, Evgeniy Romenski +1
math.NAarXiv:1511.08995v12015
E-Determinants of Tensors
Shenglong Hu, Zheng-Hai Huang, Chen Ling +1
math.NAarXiv:1109.0348v32011
Approximating spectral densities of large matrices
Lin Lin, Yousef Saad, Chao Yang
math.NAarXiv:1308.5467v22013
Even Faster Accelerated Coordinate Descent Using Non-Uniform Sampling
Zeyuan Allen-Zhu, Zheng Qu, Peter Richtárik +1
math.OCcs.DSmath.NAarXiv:1512.09103v32015
Dropping Convexity for Faster Semi-definite Optimization
Srinadh Bhojanapalli, Anastasios Kyrillidis, Sujay Sanghavi
stat.MLcs.DScs.ITarXiv:1509.03917v32015
Convergence of Numerical Time-Averaging and Stationary Measures via Poisson Equations
Jonathan C. Mattingly, Andrew M. Stuart, M. V. Tretyakov
math.PRmath.NAarXiv:0908.4450v32009
Algorithms to automatically quantify the geometric similarity of anatomical surfaces
D. Boyer, Y. Lipman, E. St. Clair +5
math.NAcs.CVcs.GRarXiv:1110.3649v32011
Spectra of Non-Self-Adjoint Almost Mathieu Matrices and the Scottish Flag Operator
Simon Becker, Izak Oltman
math.SPmath.NAarXiv:2608.30191v12026
From multi-layered problems to multiple two-layered problems: a novel frequency-time hybrid multiple-scattering integral equation solver
Shuai Pan, Tao Yin, Lu Zhang
math.NAarXiv:2608.30287v12026
Parameter-Robust Subspace Correction with Multiple Semidefinite Penalties
Subhransu S. Bhattacharjee
math.NAarXiv:2608.30265v12026
Feedback Particle Filter
Tao Yang, Prashant G. Mehta, Sean P. Meyn
math.NAarXiv:1302.6563v12013
Analysis and Approximation of Stochastic Multiscale Subdiffusion Driven by Fractional Gaussian Noise
Jincheng Dong, Ning Du, Xu Guo +2
math.NAarXiv:2608.29533v12026
Advancements in Spectral Collocation Methods for High-Order Eigenvalue Problems
Sameh Gana
math.NAarXiv:2608.29932v12026
High-order energy-stable BGN parametric finite element methods for geometric flows
Shu Ma, Qiqi Rao
math.NAarXiv:2608.29877v12026
A proximal method for composite minimization
A. S. Lewis, S. J. Wright
math.OCmath.NAarXiv:0812.0423v22008
Radial Basis Function Approximations: Comparison and Applications
Zuzana Majdisova, Vaclav Skala
math.NAarXiv:1806.07705v12018
An energy stable fourth order finite difference scheme for the Cahn-Hilliard equation
Kelong Cheng, Wenqiang Feng, Cheng Wang +1
math.NAarXiv:1712.06210v12017
Review of Inverse Laplace Transform Algorithms for Laplace-Space Numerical Approaches
Kristopher L. Kuhlman
math.NAmath-pharXiv:1204.4754v32012
Failure-informed adaptive sampling for PINNs
Zhiwei Gao, Liang Yan, Tao Zhou
math.NAstat.MLarXiv:2210.00279v32022
Construction of trace-preserving Fortin operators
Franziska Eickmann, Tabea Tscherpel
math.NAarXiv:2609.04926v12026
Adaptive Smolyak Pseudospectral Approximations
Patrick R. Conrad, Youssef M. Marzouk
math.NAarXiv:1209.1406v22012
An efficient iterative thresholding method for image segmentation
Dong Wang, Haohan Li, Xiaoyu Wei +1
cs.CVmath.NAarXiv:1608.01431v22016
A splitting approach for the fully nonlinear and weakly dispersive Green-Naghdi model
Philippe Bonneton, Florent Chazel, David Lannes +2
math.NAphysics.ao-pharXiv:1005.1586v12010
A Tensor Neural Network Method for High-Order Homogenization of Locally Periodic Elliptic Problems
Huaijia Zhang, Haochen Liu, Xia Ji +1
math.NAmath.AParXiv:2608.29176v12026
Drawing dynamical and parameter planes of iterative families and methods
Francisco I. Chicharro, Alicia Cordero, Juan R. Torregrosa
math.NAarXiv:1307.6705v12013
Numerical Methods for Fractional Diffusion
Andrea Bonito, Juan Pablo Borthagaray, Ricardo H. Nochetto +2
math.NAarXiv:1707.01566v12017
Enhancing $\ell_1$-minimization estimates of polynomial chaos expansions using basis selection
John D. Jakeman, Michael S. Eldred, Khachik Sargsyan
math.NAarXiv:1407.8093v12014
A General Superconvergence Result for Cubature on Triangulated Polygonal Domains
Jonah A. Reeger
math.NAarXiv:2608.28883v12026
A Probabilistic Numerical Method for Fully Nonlinear Parabolic PDEs
Arash Fahim, Nizar Touzi, Xavier Warin
math.PRmath.NAarXiv:0905.1863v42009
Adaptive local basis set for Kohn-Sham density functional theory in a discontinuous Galerkin framework I: Total energy calculation
Lin Lin, Jianfeng Lu, Lexing Ying +1
math.NAphysics.chem-phphysics.comp-pharXiv:1102.2520v22011
The specular ellipse method for scalar ordinary differential equations: exactness and accuracy up to fourth order
Kiyuob Jung
math.NAarXiv:2608.30280v12026
Atomic Cluster Expansion: Completeness, Efficiency and Stability
Genevieve Dusson, Markus Bachmayr, Gabor Csanyi +4
math.NAarXiv:1911.03550v42019
A GPU-Accelerated Blocked Adaptive Randomized Range Finder Based on an Implicit Householder QR Decomposition
Carolin Penke, Andreas Herten
math.NAcs.MSarXiv:2608.28941v12026
D-RADI: A Low-rank ADI Algorithm for Solving Large-scale Discrete-time Algebraic Riccati Equations
Umair Zulfiqar
math.NAeess.SYarXiv:2608.29131v12026
Bayesian Probabilistic Numerical Methods
Jon Cockayne, Chris Oates, Tim Sullivan +1
stat.MEmath.NAmath.STarXiv:1702.03673v22017
A Double-Adaptivity Solver for Parabolic PDEs
Gregor Gantner, Robin Smeets, Rob Stevenson
math.NAarXiv:2609.01748v12026
Learning a general class of admissible multi-species collision operators from molecular dynamics
Yue Zhao, Andrew Christlieb, Huan Lei
physics.comp-phmath.NAphysics.plasm-pharXiv:2609.01845v12026
Data-Driven Model Reduction for the Bayesian Solution of Inverse Problems
Tiangang Cui, Youssef M. Marzouk, Karen E. Willcox
stat.COmath.NAstat.MEarXiv:1403.4290v22014
Projection-based low-rank assembly in IgA
Tom-Christian Riemer, Martin Stoll
math.NAmath.AParXiv:2609.01218v12026
Physically-Constrained Data-Driven, Filtered Reduced Order Modeling of Fluid Flows
M. Mohebujjaman, L. G. Rebholz, T. Iliescu
math.NAarXiv:1806.00350v12018
Fast computation and convergence analysis of the infinite-product representation of the Schottky--Klein prime function
Shuntaro Yamamoto, Hiroyuki Miyoshi
math.NAarXiv:2609.00785v12026
An overview on deep learning-based approximation methods for partial differential equations
Christian Beck, Martin Hutzenthaler, Arnulf Jentzen +1
math.NAcs.LGarXiv:2012.12348v32020
Analysis of $L1$-Galerkin FEMs for time-fractional nonlinear parabolic problems
Dongfang Li, Hong-lin Liao, Weiwei Sun +2
math.NAarXiv:1612.00562v12016
Numerical methods for nonlocal and fractional models
Marta D'Elia, Qiang Du, Christian Glusa +3
math.NAmath.APmath.OCarXiv:2002.01401v22020
A Sharp Unitarily Invariant Norm Bound for the Off-Diagonal Block Perturbation of a Hermitian Matrix
Lei-Hong Zhang, Ren-Cang Li
math.NAarXiv:2608.29009v12026
Efficient Hybrid WENO Schemes for Special Relativistic Hydrodynamics with Adaptive Characteristic Reconstruction
Rakesh Kumar, Biswarup Biswas, Asha Kumari Meena +1
math.NAarXiv:2608.29776v12026
Optimal error estimates of sequential finite element method for nonlinear thermo-poroelasticity problems
Fang Wang, Fan Chen, Changqing Lv +1
math.NAarXiv:2608.29799v22026
Constraint Preserving AFD-WENO Schemes for Relativistic Hydrodynamics with General Equations of State
Pramodit Mishra, Shubham Upadhyay, Rakesh Kumar +1
math.NAarXiv:2608.29654v12026
Summaries:한국어
Neural Operator: Graph Kernel Network for Partial Differential Equations
Zongyi Li, Nikola Kovachki, Kamyar Azizzadenesheli +4
cs.LGmath.NAstat.MLarXiv:2003.03485v12020

math.NA

Quasi-Monte Carlo Feature Maps for Shift-Invariant Kernels

Deep learning observables in computational fluid dynamics

Superconvergence of a discontinuous Galerkin method for fractional diffusion and wave equations

Linear Systems and Eigenvalue Problems: Open Questions from a Simons Workshop

Error estimates for physics informed neural networks approximating the Navier-Stokes equations

LSRN: A Parallel Iterative Solver for Strongly Over- or Under-Determined Systems

Selection, Representation, and Execution in Sparse Fourier Neural Operators

Overcoming the spatial order barrier for nonlinear SPDEs with additive space-time white noise

Assessment of Numerical Lift Coefficient Data for a Circular Cylinder with Application to Bladeless Turbines

Accelerating the Improved Arrow--Hurwicz Iteration via the Anderson Algorithm for Steady-State Navier--Stokes Equations

On the Gram matrix of standard inner products of asymmetrically-weighted Hermite functions

High order ADER schemes for a unified first order hyperbolic formulation of continuum mechanics: viscous heat-conducting fluids and elastic solids

E-Determinants of Tensors

Approximating spectral densities of large matrices

Even Faster Accelerated Coordinate Descent Using Non-Uniform Sampling

Dropping Convexity for Faster Semi-definite Optimization

Convergence of Numerical Time-Averaging and Stationary Measures via Poisson Equations

Algorithms to automatically quantify the geometric similarity of anatomical surfaces

Spectra of Non-Self-Adjoint Almost Mathieu Matrices and the Scottish Flag Operator

From multi-layered problems to multiple two-layered problems: a novel frequency-time hybrid multiple-scattering integral equation solver

Parameter-Robust Subspace Correction with Multiple Semidefinite Penalties

Feedback Particle Filter

Analysis and Approximation of Stochastic Multiscale Subdiffusion Driven by Fractional Gaussian Noise

Advancements in Spectral Collocation Methods for High-Order Eigenvalue Problems

High-order energy-stable BGN parametric finite element methods for geometric flows

A proximal method for composite minimization

Radial Basis Function Approximations: Comparison and Applications

An energy stable fourth order finite difference scheme for the Cahn-Hilliard equation

Review of Inverse Laplace Transform Algorithms for Laplace-Space Numerical Approaches

Failure-informed adaptive sampling for PINNs

Construction of trace-preserving Fortin operators

Adaptive Smolyak Pseudospectral Approximations

An efficient iterative thresholding method for image segmentation

A splitting approach for the fully nonlinear and weakly dispersive Green-Naghdi model

A Tensor Neural Network Method for High-Order Homogenization of Locally Periodic Elliptic Problems

Drawing dynamical and parameter planes of iterative families and methods

Numerical Methods for Fractional Diffusion

Enhancing $\ell_1$-minimization estimates of polynomial chaos expansions using basis selection

A General Superconvergence Result for Cubature on Triangulated Polygonal Domains

A Probabilistic Numerical Method for Fully Nonlinear Parabolic PDEs

Adaptive local basis set for Kohn-Sham density functional theory in a discontinuous Galerkin framework I: Total energy calculation

The specular ellipse method for scalar ordinary differential equations: exactness and accuracy up to fourth order

Atomic Cluster Expansion: Completeness, Efficiency and Stability

A GPU-Accelerated Blocked Adaptive Randomized Range Finder Based on an Implicit Householder QR Decomposition

D-RADI: A Low-rank ADI Algorithm for Solving Large-scale Discrete-time Algebraic Riccati Equations

Bayesian Probabilistic Numerical Methods

A Double-Adaptivity Solver for Parabolic PDEs

Learning a general class of admissible multi-species collision operators from molecular dynamics

Data-Driven Model Reduction for the Bayesian Solution of Inverse Problems

Projection-based low-rank assembly in IgA

Physically-Constrained Data-Driven, Filtered Reduced Order Modeling of Fluid Flows

Fast computation and convergence analysis of the infinite-product representation of the Schottky--Klein prime function

An overview on deep learning-based approximation methods for partial differential equations

Analysis of $L1$-Galerkin FEMs for time-fractional nonlinear parabolic problems

Numerical methods for nonlocal and fractional models

A Sharp Unitarily Invariant Norm Bound for the Off-Diagonal Block Perturbation of a Hermitian Matrix

Efficient Hybrid WENO Schemes for Special Relativistic Hydrodynamics with Adaptive Characteristic Reconstruction

Optimal error estimates of sequential finite element method for nonlinear thermo-poroelasticity problems

Constraint Preserving AFD-WENO Schemes for Relativistic Hydrodynamics with General Equations of State

Neural Operator: Graph Kernel Network for Partial Differential Equations