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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541 to 600 of 953

Quadrature by Expansion: A New Method for the Evaluation of Layer Potentials
Andreas Klöckner, Alexander Barnett, Leslie Greengard +1
math.NAarXiv:1207.4461v22012
Deep optimal stopping
Sebastian Becker, Patrick Cheridito, Arnulf Jentzen
math.NAmath.PRarXiv:1804.05394v42018
Can Physics-Informed Neural Networks beat the Finite Element Method?
Tamara G. Grossmann, Urszula Julia Komorowska, Jonas Latz +1
math.NAcs.LGarXiv:2302.04107v12023
First Order Methods beyond Convexity and Lipschitz Gradient Continuity with Applications to Quadratic Inverse Problems
Jérôme Bolte, Shoham Sabach, Marc Teboulle +1
math.OCmath.NAarXiv:1706.06461v12017
Why many theories of shock waves are necessary. Convergence error in formally path-consistent schemes
Manuel J. Castro, Philippe G. LeFloch, María Luz Muñoz-Ruiz +1
math.NAphysics.flu-dynarXiv:0808.2065v12008
A note on the Joint Spectral Radius
Antonio Cicone
math.NAarXiv:1502.01506v12015
A $C^1$ virtual element method for the Cahn-Hilliard equation with polygonal meshes
Paola F. Antonietti, Lourenco Beirao da Veiga, Simone Scacchi +1
math.NAarXiv:1502.03259v12015
Solving and Learning Nonlinear PDEs with Gaussian Processes
Yifan Chen, Bamdad Hosseini, Houman Owhadi +1
math.NAstat.MLarXiv:2103.12959v22021
Analysis of the ensemble Kalman filter for inverse problems
Claudia Schillings, Andrew M. Stuart
math.NAarXiv:1602.02020v22016
Optimal weighted least-squares methods
Albert Cohen, Giovanni Migliorati
math.NAmath.PRmath.STarXiv:1608.00512v12016
Sparse Signal Recovery from Quadratic Measurements via Convex Programming
Xiaodong Li, Vladislav Voroninski
cs.ITmath.NAarXiv:1209.4785v12012
SWASHES: a compilation of Shallow Water Analytic Solutions for Hydraulic and Environmental Studies
Olivier Delestre, Carine Lucas, Pierre-Antoine Ksinant +5
math.NAmath.APphysics.class-pharXiv:1110.0288v72011
A Barrier-Regularized Symmetric Nitsche Method for the Signorini Problem
Peter Hansbo, Mats G. Larson
math.NAarXiv:2608.30470v12026
Sparse Polynomial Chaos Expansions: Literature Survey and Benchmark
Nora Lüthen, Stefano Marelli, Bruno Sudret
math.NAstat.COstat.MEarXiv:2002.01290v42020
The Experimental Nuclear Reaction Data (EXFOR): Extended Computer Database and Web Retrieval System
V. V. Zerkin, B. Pritychenko
physics.comp-phmath.NAarXiv:1802.05714v12018
Tackling the Curse of Dimensionality with Physics-Informed Neural Networks
Zheyuan Hu, Khemraj Shukla, George Em Karniadakis +1
cs.LGcs.AImath.DSarXiv:2307.12306v62023
Momentum and Stochastic Momentum for Stochastic Gradient, Newton, Proximal Point and Subspace Descent Methods
Nicolas Loizou, Peter Richtárik
math.OCcs.LGmath.NAarXiv:1712.09677v22017
The pitfalls of verifying floating-point computations
David Monniaux
cs.PLmath.NAarXiv:cs/0701192v52007
Convergence Analysis of a Second Order Convex Splitting Scheme for the Modified Phase Field Crystal Equation
Arvind Baskaran, John Lowengrub, Cheng Wang +1
math.NAarXiv:1208.1469v12012
IR Tools: A MATLAB Package of Iterative Regularization Methods and Large-Scale Test Problems
Silvia Gazzola, Per Christian Hansen, James G. Nagy
math.NAarXiv:1712.05602v22017
Numerical Methods for the Fractional Laplacian: a Finite Difference-quadrature Approach
Yanghong Huang, Adam Oberman
math.NAarXiv:1311.7691v32013
Low-rank matrix recovery via iteratively reweighted least squares minimization
Massimo Fornasier, Holger Rauhut, Rachel Ward
math.NAarXiv:1010.2471v42010
Convergence of approximate solutions of conservation laws
Sebastian Noelle, Michael Westdickenberg
math.NAarXiv:1502.00798v12015
Phase Retrieval: Stability and Recovery Guarantees
Yonina C. Eldar, Shahar Mendelson
cs.ITmath.NAarXiv:1211.0872v12012
High-precision quantum algorithms for partial differential equations
Andrew M. Childs, Jin-Peng Liu, Aaron Ostrander
quant-phmath.NAarXiv:2002.07868v22020
Semi-Stochastic Gradient Descent Methods
Jakub Konečný, Peter Richtárik
stat.MLcs.LGmath.NAarXiv:1312.1666v22013
A posteriori error estimates for the virtual element method
Andrea Cangiani, Emmanuil H. Georgoulis, Tristan Pryer +1
math.NAarXiv:1603.05855v22016
A second order in time, uniquely solvable, unconditionally stable numerical scheme for Cahn-Hilliard-Navier-Stokes equation
Daozhi Han, Xiaoming Wang
math.NAarXiv:1407.7048v12014
Optimal Rates of Convergence for Noisy Sparse Phase Retrieval via Thresholded Wirtinger Flow
T. Tony Cai, Xiaodong Li, Zongming Ma
math.STcs.ITmath.NAarXiv:1506.03382v12015
Minimizing the Arithmetic and Communication Complexity of Jacobi's Method for Eigenvalues and Singular Values: Part Two -- Parallel Algorithms
James Demmel, Hengrui Luo, Ryan Schneider +1
math.NAarXiv:2608.28952v12026
Stable image reconstruction using total variation minimization
Deanna Needell, Rachel Ward
cs.CVcs.ITmath.NAarXiv:1202.6429v92012
A unified approach to Mimetic Finite Difference, Hybrid Finite Volume and Mixed Finite Volume methods
Jerome Droniou, Robert Eymard, Thierry Gallouët +1
math.NAarXiv:0812.2097v12008
A Krylov subspace algorithm for evaluating the phi-functions appearing in exponential integrators
Jitse Niesen, Will M. Wright
math.NAarXiv:0907.4631v22009
Variable projection methods for an optimized dynamic mode decomposition
Travis Askham, J. Nathan Kutz
math.NAarXiv:1704.02343v12017
Subspace Iteration Randomization and Singular Value Problems
Ming Gu
math.NAarXiv:1408.2208v12014
Bending and vibration of functionally graded material sandwich plates using an accurate theory
S. Natarajan, M. Ganapathi
math.NAarXiv:1203.2524v12012
Application of Optimal Transport and the Quadratic Wasserstein Metric to Full-Waveform Inversion
Yunan Yang, Björn Engquist, Junzhe Sun +1
physics.geo-phmath.NAarXiv:1612.05075v22016
MAPEL: Achieving Global Optimality for a Non-convex Wireless Power Control Problem
Liping Qian, Ying Jun Zhang, Jianwei Huang
cs.NImath.NAarXiv:0805.2675v22008
Sweeping Preconditioner for the Helmholtz Equation: Moving Perfectly Matched Layers
Björn Engquist, Lexing Ying
math.NAarXiv:1007.4291v22010
Exact and Stable Covariance Estimation from Quadratic Sampling via Convex Programming
Yuxin Chen, Yuejie Chi, Andrea Goldsmith
cs.ITcs.LGmath.NAarXiv:1310.0807v52013
Phase field modeling of brittle compressive-shear fractures in rock-like materials: A new driving force and a hybrid formulation
Shuwei Zhou, Xiaoying Zhuang, Timon Rabczuk
cs.CEmath.NAarXiv:2308.05748v12023
A projector-splitting integrator for dynamical low-rank approximation
Christian Lubich, Ivan Oseledets
math.NAarXiv:1301.1058v22013
Estimates on the generalization error of Physics Informed Neural Networks (PINNs) for approximating PDEs
Siddhartha Mishra, Roberto Molinaro
math.NAcs.LGmath.AParXiv:2006.16144v32020
A Field Guide to Forward-Backward Splitting with a FASTA Implementation
Tom Goldstein, Christoph Studer, Richard Baraniuk
math.NAarXiv:1411.3406v62014
Adversarial Regularizers in Inverse Problems
Sebastian Lunz, Ozan Öktem, Carola-Bibiane Schönlieb
cs.CVcs.LGmath.NAarXiv:1805.11572v22018
Computing Nearly Singular Solutions Using Pseudo-Spectral Methods
Thomas Y. Hou, Ruo Li
math.NAarXiv:math/0701337v12007
Bayesian Numerical Homogenization
Houman Owhadi
math.NAmath.STarXiv:1406.6668v22014
A fast and well-conditioned spectral method
Sheehan Olver, Alex Townsend
math.NAarXiv:1202.1347v22012
Low-rank methods for high-dimensional approximation and model order reduction
Anthony Nouy
math.NAarXiv:1511.01554v12015
A computational framework for infinite-dimensional Bayesian inverse problems: Part II. Stochastic Newton MCMC with application to ice sheet flow inverse problems
Noemi Petra, James Martin, Georg Stadler +1
stat.MEmath.NAmath.OCarXiv:1308.6221v22013
A fast and accurate physics-informed neural network reduced order model with shallow masked autoencoder
Youngkyu Kim, Youngsoo Choi, David Widemann +1
math.NAcs.LGcs.NEarXiv:2009.11990v22020
The Number of Eigenvalues of a Tensor
Dustin Cartwright, Bernd Sturmfels
math.NAmath.AGarXiv:1004.4953v22010
QGPINNs: A Physics-Informed Neural Network Framework for Nonlocal Differential Equations on Quantum Graphs
Vaibhav Mehandiratta, Saket Ramchandra
cs.LGmath.NAarXiv:2608.28589v12026
Partially Penalized Immersed Finite Element Methods for Elliptic Interface Problems
Tao Lin, Yanping Lin, Xu Zhang
math.NAarXiv:1501.00924v22015
MUSIC for Single-Snapshot Spectral Estimation: Stability and Super-resolution
Wenjing Liao, Albert Fannjiang
cs.ITmath.NAarXiv:1404.1484v22014
Construction of arbitrary order finite element degree-of-freedom maps on polygonal and polyhedral cell meshes
Matthew W. Scroggs, Jørgen S. Dokken, Chris N. Richardson +1
math.NAarXiv:2102.11901v52021
High-order robust basis-update & Galerkin integrators for dynamical low-rank approximation
Cory D. Hauck, Jonas Kusch, Steffen Schotthöfer
math.NAarXiv:2608.27749v12026
Nitsche's method for two and three dimensional NURBS patch coupling
Vinh Phu Nguyen, Pierre Kerfriden, Marco Brino +2
math.NAarXiv:1308.0802v12013
Tight p-fusion frames
Christine Bachoc, Martin Ehler
math.NAcs.ITarXiv:1201.1798v22012
Hamiltonian Boundary Value Methods (Energy Conserving Discrete Line Integral Methods)
Luigi Brugnano, Felice Iavernaro, Donato Trigiante
math.NAarXiv:0910.3621v52009

math.NA

Quadrature by Expansion: A New Method for the Evaluation of Layer Potentials

Deep optimal stopping

Can Physics-Informed Neural Networks beat the Finite Element Method?

First Order Methods beyond Convexity and Lipschitz Gradient Continuity with Applications to Quadratic Inverse Problems

Why many theories of shock waves are necessary. Convergence error in formally path-consistent schemes

A note on the Joint Spectral Radius

A $C^1$ virtual element method for the Cahn-Hilliard equation with polygonal meshes

Solving and Learning Nonlinear PDEs with Gaussian Processes

Analysis of the ensemble Kalman filter for inverse problems

Optimal weighted least-squares methods

Sparse Signal Recovery from Quadratic Measurements via Convex Programming

SWASHES: a compilation of Shallow Water Analytic Solutions for Hydraulic and Environmental Studies

A Barrier-Regularized Symmetric Nitsche Method for the Signorini Problem

Sparse Polynomial Chaos Expansions: Literature Survey and Benchmark

The Experimental Nuclear Reaction Data (EXFOR): Extended Computer Database and Web Retrieval System

Tackling the Curse of Dimensionality with Physics-Informed Neural Networks

Momentum and Stochastic Momentum for Stochastic Gradient, Newton, Proximal Point and Subspace Descent Methods

The pitfalls of verifying floating-point computations

Convergence Analysis of a Second Order Convex Splitting Scheme for the Modified Phase Field Crystal Equation

IR Tools: A MATLAB Package of Iterative Regularization Methods and Large-Scale Test Problems

Numerical Methods for the Fractional Laplacian: a Finite Difference-quadrature Approach

Low-rank matrix recovery via iteratively reweighted least squares minimization

Convergence of approximate solutions of conservation laws

Phase Retrieval: Stability and Recovery Guarantees

High-precision quantum algorithms for partial differential equations

Semi-Stochastic Gradient Descent Methods

A posteriori error estimates for the virtual element method

A second order in time, uniquely solvable, unconditionally stable numerical scheme for Cahn-Hilliard-Navier-Stokes equation

Optimal Rates of Convergence for Noisy Sparse Phase Retrieval via Thresholded Wirtinger Flow

Minimizing the Arithmetic and Communication Complexity of Jacobi's Method for Eigenvalues and Singular Values: Part Two -- Parallel Algorithms

Stable image reconstruction using total variation minimization

A unified approach to Mimetic Finite Difference, Hybrid Finite Volume and Mixed Finite Volume methods

A Krylov subspace algorithm for evaluating the phi-functions appearing in exponential integrators

Variable projection methods for an optimized dynamic mode decomposition

Subspace Iteration Randomization and Singular Value Problems

Bending and vibration of functionally graded material sandwich plates using an accurate theory

Application of Optimal Transport and the Quadratic Wasserstein Metric to Full-Waveform Inversion

MAPEL: Achieving Global Optimality for a Non-convex Wireless Power Control Problem

Sweeping Preconditioner for the Helmholtz Equation: Moving Perfectly Matched Layers

Exact and Stable Covariance Estimation from Quadratic Sampling via Convex Programming

Phase field modeling of brittle compressive-shear fractures in rock-like materials: A new driving force and a hybrid formulation

A projector-splitting integrator for dynamical low-rank approximation

Estimates on the generalization error of Physics Informed Neural Networks (PINNs) for approximating PDEs

A Field Guide to Forward-Backward Splitting with a FASTA Implementation

Adversarial Regularizers in Inverse Problems

Computing Nearly Singular Solutions Using Pseudo-Spectral Methods

Bayesian Numerical Homogenization

A fast and well-conditioned spectral method

Low-rank methods for high-dimensional approximation and model order reduction

A computational framework for infinite-dimensional Bayesian inverse problems: Part II. Stochastic Newton MCMC with application to ice sheet flow inverse problems

A fast and accurate physics-informed neural network reduced order model with shallow masked autoencoder

The Number of Eigenvalues of a Tensor

QGPINNs: A Physics-Informed Neural Network Framework for Nonlocal Differential Equations on Quantum Graphs

Partially Penalized Immersed Finite Element Methods for Elliptic Interface Problems

MUSIC for Single-Snapshot Spectral Estimation: Stability and Super-resolution

Construction of arbitrary order finite element degree-of-freedom maps on polygonal and polyhedral cell meshes

High-order robust basis-update & Galerkin integrators for dynamical low-rank approximation

Nitsche's method for two and three dimensional NURBS patch coupling

Tight p-fusion frames

Hamiltonian Boundary Value Methods (Energy Conserving Discrete Line Integral Methods)