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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481 to 540 of 954

Estimation of Simultaneously Sparse and Low Rank Matrices
Emile Richard, Pierre-Andre Savalle, Nicolas Vayatis
cs.DScs.LGmath.NAarXiv:1206.6474v12012
Computational study of Proper Orthogonal Decomposition methods for parametric approximations
Bosco García-Archilla, Alicia García-Mascaraque, Julia Novo
math.NAarXiv:2609.02583v12026
A stable rank-adaptive step-and-truncate finite volume method for Vlasov transport on domains with piecewise linear boundaries
André Uschmajew, Andreas Zeiser
math.NAarXiv:2609.02721v12026
A Multiscale Finite Element Method for reaction-diffusion eigenproblems arising from neutronics
Claude Le Bris, Albéric Lefort, Frédéric Legoll
math.NAarXiv:2609.02420v12026
A parallel non-uniform fast Fourier transform library based on an "exponential of semicircle" kernel
Alex H. Barnett, Jeremy F. Magland, Ludvig af Klinteberg
math.NAcs.MSarXiv:1808.06736v22018
A Finite-Volume Method for Nonlinear Nonlocal Equations with a Gradient Flow Structure
José A. Carrillo, Alina Chertock, Yanghong Huang
math.NAarXiv:1402.4252v22014
Stochastic Primal-Dual Hybrid Gradient Algorithm with Arbitrary Sampling and Imaging Applications
Antonin Chambolle, Matthias J. Ehrhardt, Peter Richtárik +1
math.OCcs.CVmath.NAarXiv:1706.04957v22017
On the approximation of functions by tanh neural networks
Tim De Ryck, Samuel Lanthaler, Siddhartha Mishra
math.NAcs.LGarXiv:2104.08938v22021
Improving CUR Matrix Decomposition and the Nyström Approximation via Adaptive Sampling
Shusen Wang, Zhihua Zhang
cs.LGmath.NAarXiv:1303.4207v72013
Dynamic subscales and unconditional semi-discrete stability for non-residual VMS approximations of generalised Newtonian flows
G. R. Barrenechea, E. Castillo, R. Codina +2
math.NAarXiv:2608.29457v12026
Convergence Analysis and Error Estimates for a Second Order Accurate Finite Element Method for the Cahn-Hilliard-Navier-Stokes System
Amanda E. Diegel, Cheng Wang, Xiaoming Wang +1
math.NAarXiv:1606.02668v12016
Wigner-Eckart Factorization of the Polyatomic Boltzmann Collision Operator
Torsten Keßler, Bas W. T. Gieling, René R. Hiemstra +1
math.NAphysics.comp-pharXiv:2608.29825v12026
Lean Algebraic Multigrid (LAMG): Fast Graph Laplacian Linear Solver (Journal Version)
Oren E. Livne, Achi Brandt
math.NAarXiv:1108.1310v22011
Sparse Pseudospectral Approximation Method
Paul G. Constantine, Michael S. Eldred, Eric T. Phipps
math.NAarXiv:1109.2936v22011
Schubert varieties and distances between subspaces of different dimensions
Ke Ye, Lek-Heng Lim
math.NAmath.AGarXiv:1407.0900v32014
Numerical analysis of nonlinear subdiffusion equations
Bangti Jin, Buyang Li, Zhi Zhou
math.NAarXiv:1705.07398v22017
FTU-Seek: Foundation Model-Guided Hard-Negative Learning for Sparse Functional Tissue Unit Segmentation
Zonghao Liu, Lei Su, Jiguang Yu +4
cs.CVmath.NAarXiv:2609.00704v12026
Convergence of Entropic Schemes for Optimal Transport and Gradient Flows
Guillaume Carlier, Vincent Duval, Gabriel Peyré +1
math.APmath.NAarXiv:1512.02783v22015
Generalized Singular Value Thresholding
Canyi Lu, Changbo Zhu, Chunyan Xu +2
cs.CVcs.LGmath.NAarXiv:1412.2231v22014
Adaptive Local Iterative Filtering for Signal Decomposition and Instantaneous Frequency analysis
Antonio Cicone, Jingfang Liu, Haomin Zhou
math.NAarXiv:1411.6051v32014
An Immersed Interface Method for Parabolic Interface Problems with Nonlinear Jump Conditions
So-Hsiang Chou, Patrick Nyadjo Fonga
math.NAarXiv:2608.30062v12026
A variant of the block preconditioner for indefinite complex symmetric linear systems
Mehdi Makhdomi, Davod Khojasteh Salkuyeh
math.NAarXiv:2608.29985v12026
Second-Order Accuracy from Large Local Errors in Interface Problems: A Discrete Green's Function Analysis
So-Hsiang Chou, Patrick Nyadjo Fonga
math.NAarXiv:2608.30020v12026
ENPINN: Energy-Norm-Guided Gradient-Enhanced PINNs for Generalized Transport Problems with Sharp Gradients
Subhendu Maity, Pratibhamoy Das, Arihant Patawari +1
math.NAmath-pharXiv:2608.29499v12026
Correction of high-order BDF convolution quadrature for fractional evolution equations
Bangti Jin, Buyang Li, Zhi Zhou
math.NAarXiv:1703.08808v12017
Model reduction of port-Hamiltonian systems via neural networks
Silke Glas, Alexander Heinlein, Harald Monsuur +1
math.NAarXiv:2608.30788v12026
Finite elements for symmetric tensors in three dimension
Douglas N. Arnold, Gerard Awanou, Ragnar Winther
math.NAarXiv:math/0701503v22007
Tensor Orthogonal Subspace Split: Theory and Applications
Jifei Miao, Juan Han, Michael K. Ng +1
math.NAarXiv:2608.29638v12026
Convergence properties of the randomized extended Gauss-Seidel and Kaczmarz methods
Anna Ma, Deanna Needell, Aaditya Ramdas
math.NAarXiv:1503.08235v32015
Multi-scale Deep Neural Network (MscaleDNN) for Solving Poisson-Boltzmann Equation in Complex Domains
Ziqi Liu, Wei Cai, Zhi-Qin John Xu
physics.comp-phcs.LGmath.NAarXiv:2007.11207v32020
Numerical approximations of stochastic differential equations with non-globally Lipschitz continuous coefficients
Martin Hutzenthaler, Arnulf Jentzen
math.PRmath.NAarXiv:1203.5809v22012
Fortin operators for DPG advection discretizations
Pablo Cortés Castillo, Jay Gopalakrishnan
math.NAarXiv:2608.30043v12026
Physics-Informed Deep Neural Operator Networks
Somdatta Goswami, Aniruddha Bora, Yue Yu +1
cs.LGmath.NAarXiv:2207.05748v22022
Finite volume POD-Galerkin stabilised reduced order methods for the parametrised incompressible Navier-Stokes equations
Giovanni Stabile, Gianluigi Rozza
math.NAarXiv:1710.11580v32017
Parallel Sparse Matrix-Matrix Multiplication and Indexing: Implementation and Experiments
Aydin Buluc, John Gilbert
cs.DCcs.MScs.PFarXiv:1109.3739v22011
Algorithms for Solving High Dimensional PDEs: From Nonlinear Monte Carlo to Machine Learning
Weinan E, Jiequn Han, Arnulf Jentzen
math.NAmath.OCarXiv:2008.13333v22020
Dimension-independent likelihood-informed MCMC
Tiangang Cui, Kody J. H. Law, Youssef M. Marzouk
stat.COmath.NAstat.MEarXiv:1411.3688v22014
Sweeping Preconditioner for the Helmholtz Equation: Hierarchical Matrix Representation
Björn Engquist, Lexing Ying
math.NAarXiv:1007.4290v22010
A Survey of Monte Carlo Methods for Parameter Estimation
D. Luengo, L. Martino, M. Bugallo +2
stat.COcs.AIeess.SParXiv:2107.11820v12021
Efficient primal--dual splitting methods for a Poisson-constrained JKO scheme for Poisson-Nernst-Planck models
Wei Wu, Jin Zeng, Zhen Zhang +1
math.NAmath.OCphysics.comp-pharXiv:2608.30693v12026
Positivity-preserving, energy stable numerical schemes for the Cahn-Hilliard equation with logarithmic potential
Wenbin Chen, Cheng Wang, Xiaoming Wang +1
math.NAarXiv:1712.03225v22017
Further analysis of multilevel Monte Carlo methods for elliptic PDEs with random coefficients
A. L. Teckentrup, R. Scheichl, M. B. Giles +1
math.NAarXiv:1204.3476v12012
Convergence Rate of Frank-Wolfe for Non-Convex Objectives
Simon Lacoste-Julien
math.OCcs.LGmath.NAarXiv:1607.00345v12016
A fast direct solver for structured linear systems by recursive skeletonization
Kenneth L. Ho, Leslie Greengard
math.NAarXiv:1110.3105v22011
Kolmogorov Arnold Informed neural network: A physics-informed deep learning framework for solving forward and inverse problems based on Kolmogorov Arnold Networks
Yizheng Wang, Jia Sun, Jinshuai Bai +5
cs.LGmath.NAarXiv:2406.11045v22024
Optimal Transport with Proximal Splitting
Nicolas Papadakis, Gabriel Peyré, Edouard Oudet
math.NAarXiv:1304.5784v22013
A Theoretical Analysis of Deep Neural Networks and Parametric PDEs
Gitta Kutyniok, Philipp Petersen, Mones Raslan +1
math.NAcs.LGmath.FAarXiv:1904.00377v32019
Multiscale modeling of granular flows with application to crowd dynamics
Emiliano Cristiani, Benedetto Piccoli, Andrea Tosin
math-phmath.NAphysics.soc-pharXiv:1006.0694v12010
Weak SINDy: Galerkin-Based Data-Driven Model Selection
Daniel A. Messenger, David M. Bortz
math.NAarXiv:2005.04339v32020
Random attractors and almost-sure stability under discretization of a stochastic autoparametric system
Chuchu Chen, Jialin Hong, Yibo Wang
math.DSmath.NAarXiv:2608.29149v12026
A Weak Galerkin Finite Element Method for the Maxwell Equations
Lin Mu, Junping Wang, Xiu Ye +1
math.NAarXiv:1312.2309v12013
pde2path - A Matlab package for continuation and bifurcation in 2D elliptic systems
Hannes Uecker, Daniel Wetzel, Jens D. M. Rademacher
math.APmath.NAarXiv:1208.3112v22012
Entropy-Stable and Physical-Constraint-Preserving DGSEM for Symmetry-Reduced General-Relativistic Hydrodynamics on Stationary Spacetimes
Guosheng Fu, Jian-Guo Liu
math.NAgr-qcphysics.comp-pharXiv:2608.29229v12026
Golden Ratio Algorithms for Variational Inequalities
Yura Malitsky
math.OCmath.NAarXiv:1803.08832v22018
Time integration of tensor trains
Christian Lubich, Ivan Oseledets, Bart Vandereycken
math.NAarXiv:1407.2042v22014
High-Order-Accurate Continuity Enforcing Nyström Discretization of 3D Maxwell Combined Field Integral Equations
Bernd Hofmann, Reza Molavi, Constantine Sideris
math.NAphysics.comp-pharXiv:2608.28876v12026
Virtual Elements for the Navier-Stokes problem on polygonal meshes
L. Beirão da Veiga, C. Lovadina, G. Vacca
math.NAarXiv:1703.00437v22017
Unconditional convergence and optimal error estimates of a Galerkin-mixed FEM for incompressible miscible flow in porous media
Buyang Li, Weiwei Sun
math.NAarXiv:1207.1762v32012
Efficient Accelerated Coordinate Descent Methods and Faster Algorithms for Solving Linear Systems
Yin Tat Lee, Aaron Sidford
cs.DSmath.NAarXiv:1305.1922v12013
Closest Normal Matrix Found Again Using Riemannian Optimization
Vanni Noferini, Matvei Zhukov
math.NAarXiv:2608.28545v12026

math.NA

Estimation of Simultaneously Sparse and Low Rank Matrices

Computational study of Proper Orthogonal Decomposition methods for parametric approximations

A stable rank-adaptive step-and-truncate finite volume method for Vlasov transport on domains with piecewise linear boundaries

A Multiscale Finite Element Method for reaction-diffusion eigenproblems arising from neutronics

A parallel non-uniform fast Fourier transform library based on an "exponential of semicircle" kernel

A Finite-Volume Method for Nonlinear Nonlocal Equations with a Gradient Flow Structure

Stochastic Primal-Dual Hybrid Gradient Algorithm with Arbitrary Sampling and Imaging Applications

On the approximation of functions by tanh neural networks

Improving CUR Matrix Decomposition and the Nyström Approximation via Adaptive Sampling

Dynamic subscales and unconditional semi-discrete stability for non-residual VMS approximations of generalised Newtonian flows

Convergence Analysis and Error Estimates for a Second Order Accurate Finite Element Method for the Cahn-Hilliard-Navier-Stokes System

Wigner-Eckart Factorization of the Polyatomic Boltzmann Collision Operator

Lean Algebraic Multigrid (LAMG): Fast Graph Laplacian Linear Solver (Journal Version)

Sparse Pseudospectral Approximation Method

Schubert varieties and distances between subspaces of different dimensions

Numerical analysis of nonlinear subdiffusion equations

FTU-Seek: Foundation Model-Guided Hard-Negative Learning for Sparse Functional Tissue Unit Segmentation

Convergence of Entropic Schemes for Optimal Transport and Gradient Flows

Generalized Singular Value Thresholding

Adaptive Local Iterative Filtering for Signal Decomposition and Instantaneous Frequency analysis

An Immersed Interface Method for Parabolic Interface Problems with Nonlinear Jump Conditions

A variant of the block preconditioner for indefinite complex symmetric linear systems

Second-Order Accuracy from Large Local Errors in Interface Problems: A Discrete Green's Function Analysis

ENPINN: Energy-Norm-Guided Gradient-Enhanced PINNs for Generalized Transport Problems with Sharp Gradients

Correction of high-order BDF convolution quadrature for fractional evolution equations

Model reduction of port-Hamiltonian systems via neural networks

Finite elements for symmetric tensors in three dimension

Tensor Orthogonal Subspace Split: Theory and Applications

Convergence properties of the randomized extended Gauss-Seidel and Kaczmarz methods

Multi-scale Deep Neural Network (MscaleDNN) for Solving Poisson-Boltzmann Equation in Complex Domains

Numerical approximations of stochastic differential equations with non-globally Lipschitz continuous coefficients

Fortin operators for DPG advection discretizations

Physics-Informed Deep Neural Operator Networks

Finite volume POD-Galerkin stabilised reduced order methods for the parametrised incompressible Navier-Stokes equations

Parallel Sparse Matrix-Matrix Multiplication and Indexing: Implementation and Experiments

Algorithms for Solving High Dimensional PDEs: From Nonlinear Monte Carlo to Machine Learning

Dimension-independent likelihood-informed MCMC

Sweeping Preconditioner for the Helmholtz Equation: Hierarchical Matrix Representation

A Survey of Monte Carlo Methods for Parameter Estimation

Efficient primal--dual splitting methods for a Poisson-constrained JKO scheme for Poisson-Nernst-Planck models

Positivity-preserving, energy stable numerical schemes for the Cahn-Hilliard equation with logarithmic potential

Further analysis of multilevel Monte Carlo methods for elliptic PDEs with random coefficients

Convergence Rate of Frank-Wolfe for Non-Convex Objectives

A fast direct solver for structured linear systems by recursive skeletonization

Kolmogorov Arnold Informed neural network: A physics-informed deep learning framework for solving forward and inverse problems based on Kolmogorov Arnold Networks

Optimal Transport with Proximal Splitting

A Theoretical Analysis of Deep Neural Networks and Parametric PDEs

Multiscale modeling of granular flows with application to crowd dynamics

Weak SINDy: Galerkin-Based Data-Driven Model Selection

Random attractors and almost-sure stability under discretization of a stochastic autoparametric system

A Weak Galerkin Finite Element Method for the Maxwell Equations

pde2path - A Matlab package for continuation and bifurcation in 2D elliptic systems

Entropy-Stable and Physical-Constraint-Preserving DGSEM for Symmetry-Reduced General-Relativistic Hydrodynamics on Stationary Spacetimes

Golden Ratio Algorithms for Variational Inequalities

Time integration of tensor trains

High-Order-Accurate Continuity Enforcing Nyström Discretization of 3D Maxwell Combined Field Integral Equations

Virtual Elements for the Navier-Stokes problem on polygonal meshes

Unconditional convergence and optimal error estimates of a Galerkin-mixed FEM for incompressible miscible flow in porous media

Efficient Accelerated Coordinate Descent Methods and Faster Algorithms for Solving Linear Systems

Closest Normal Matrix Found Again Using Riemannian Optimization