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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1,561 to 1,620 of 1,854
Numerical Methods for Fractional Diffusion
Andrea Bonito, Juan Pablo Borthagaray, Ricardo H. Nochetto +2
math.NAarXiv:1707.01566v12017Constraint Energy Minimizing Generalized Multiscale Finite Element Method
Eric T. Chung, Yalchin Efendiev, Wing Tat Leung
math.NAcs.NAarXiv:1704.03193v12017A General Analysis of the Convergence of ADMM
Robert Nishihara, Laurent Lessard, Benjamin Recht +2
math.OCmath.NAarXiv:1502.02009v32015Encoding physics to learn reaction-diffusion processes
Chengping Rao, Pu Ren, Qi Wang +3
cs.LGmath.NAphysics.comp-pharXiv:2106.04781v22021Residual neural networks overcome the curse of dimensionality for semilinear heat equations
Ilkhom Mukhammadiev, Diyora Salimova
math.NAcs.LGcs.NAarXiv:2609.03626v12026HDG methods in finite element exterior calculus
Calvin Reedy, Ari Stern, Yunhui Xue
math.NAcs.NAarXiv:2609.28995v12026ConceFT: Concentration of Frequency and Time via a multitapered synchrosqueezed transform
Ingrid Daubechies, Yi Wang, Hau-tieng Wu
math.STmath.NAstat.AParXiv:1507.05366v12015Randomized Quasi-Gauss--Newton Methods for Solving General Nonlinear Equations
Chengchang Liu, Luo Luo
math.OCmath.NAarXiv:2608.27084v12026Reduced Basis Methods: Success, Limitations and Future Challenges
Mario Ohlberger, Stephan Rave
math.NAarXiv:1511.02021v22015A weighted finite difference method for the fractional diffusion equation based on the Riemann-Liouville derivative
Ercília Sousa, Can Li
math.NAphysics.comp-pharXiv:1109.2345v12011Inertial Manifold Neural Operator for Dissipative Time-Dependent Partial Differential Equations
Xiaoyang Xie, Clarence W. Rowley
math.NAcs.LGmath.DSarXiv:2608.23546v12026The Numerical Onsager-Machlup action functional for Euler discretized SDEs driven by fractional Brownian motion
Shanqi Liu, Qiqi Lian, Jinqiao Duan +1
math.NAcs.NAmath.DSarXiv:2609.34626v12026Solving Inverse Problems With Deep Neural Networks -- Robustness Included?
Martin Genzel, Jan Macdonald, Maximilian März
cs.LGcs.NAmath.NAarXiv:2011.04268v12020On stable numerical differentiation
N. S. Hoang, A. G. Ramm
math.NAcs.NAarXiv:0711.4403v32007A Cut Finite Element Method for Transient Thermal Simulation in Multi-material Electronic Packaging Structures
Hao Dong
math.NAcs.NAarXiv:2610.08543v12026A novel parallel approach for solving some free boundary value problems
Peeyush Singh, Amboru Yalmanda
math.NAcs.NAarXiv:2609.03214v12026A \(3\times 3\) counterexample to Lin and Wimmer's rank-minimization conjecture associated with Roth's similarity theorem
Shuo Shi, Juan Zhang, Yun Zhang
math.RAcs.NAmath.NAarXiv:2609.07113v12026Space-time adaptive ADER discontinuous Galerkin finite element schemes with a posteriori sub-cell finite volume limiting
Olindo Zanotti, Francesco Fambri, Michael Dumbser +1
math.NAastro-ph.IMcs.NAarXiv:1412.0081v22014Mixed Generalized Multiscale Finite Element Methods and Applications
Eric T. Chung, Yalchin Efendiev, Chak Shing Lee
math.NAarXiv:1406.0950v12014Synchrosqueezing-based Recovery of Instantaneous Frequency from Nonuniform Samples
Gaurav Thakur, Hau-Tieng Wu
math.NAarXiv:1006.2533v42010Adaptive Multilevel Discontinuous Galerkin Methods on GPUs
Michał Wichrowski
math.NAcs.NAarXiv:2609.04534v12026Discontinuous Galerkin method for fractional convection-diffusion equations
Q. Xu, J. S. Hesthaven
math.NAarXiv:1304.6047v12013Positivity-preserving, energy stable numerical schemes for the Cahn-Hilliard equation with logarithmic potential
Wenbin Chen, Cheng Wang, Xiaoming Wang +1
math.NAarXiv:1712.03225v22017Model order reduction methods for geometrically nonlinear structures: a review of nonlinear techniques
Cyril Touzé, Alessandra Vizzaccaro, Olivier Thomas
math.NAmath.DSarXiv:2107.05077v12021Tolerance Proportionality and Computational Stability in Adaptive Parallel-in-Time Runge-Kutta Methods
Imre Fekete, Ferenc Izsák, Vendel P. Kupás +1
math.NAcs.NAarXiv:2609.32881v12026Boundary Variation Diminishing (BVD) reconstruction: a new approach to improve Godunov scheme
Ziyao Sun, Satoshi Inaba, Feng Xiao
physics.comp-phcs.NAmath.NAarXiv:1602.00814v32016PirateNets: Physics-informed Deep Learning with Residual Adaptive Networks
Sifan Wang, Bowen Li, Yuhan Chen +1
cs.LGcs.NAmath.NAarXiv:2402.00326v32024Coupled Tensor-Tensor Completion Method with Applications in Drug Repurposing
Maryam Bagherian, Albert Hung, Ivo Dinov +1
math.NAcs.LGcs.NAarXiv:2609.03190v12026Neural networks for topology optimization
Ivan Sosnovik, Ivan Oseledets
cs.LGmath.NAarXiv:1709.09578v12017On the Numerical Evaluation of Fredholm Determinants
Folkmar Bornemann
math.NAmath.FAarXiv:0804.2543v22008Convergence of finite element approximations for the one-dimensional stochastic Burgers equation with additive trace-class noise
Binjie Li, Xiaoping Xie, Qin Zhou
math.NAcs.NAarXiv:2609.11584v12026Faster Approximate Lossy Generalized Flow via Interior Point Algorithms
Samuel I. Daitch, Daniel A. Spielman
cs.DSmath.NAarXiv:0803.0988v22008Generalized Jacobi Functions and Their Applications to Fractional Differential Equations
Sheng Chen, Jie Shen, Li-Lian Wang
math.NAarXiv:1407.8303v12014Bayesian Numerical Homogenization
Houman Owhadi
math.NAmath.STarXiv:1406.6668v22014WSLD operators: A class of fourth order difference approximations for space Riemann-Liouville derivative
Minghua Chen, Weihua Deng
math.NAarXiv:1304.7425v12013Schubert varieties and distances between subspaces of different dimensions
Ke Ye, Lek-Heng Lim
math.NAmath.AGarXiv:1407.0900v32014Mean Square Error Analysis of Stochastic Runge-Kutta Integrators
Xuda Ye
math.NAcs.NAarXiv:2609.11528v42026A Generalized Source Integral Equation for Homogeneous Penetrable Scatterers
Boris Diner, Yaniv Brick
cs.CEcs.NAmath.NAarXiv:2610.02223v12026Finite difference methods for three kinds of reaction-diffusion equations with free boundaries
Caiyun Huang, Weizhi Liao, Weiping Bu
math.NAcs.NAarXiv:2609.08212v12026Space-time finite element interpolation of nonsmooth functions satisfying boundary conditions
Thomas Führer, Gregor Gantner, Roberto González +1
math.NAcs.NAarXiv:2609.11496v12026The Neural Particle Method -- An Updated Lagrangian Physics Informed Neural Network for Computational Fluid Dynamics
Henning Wessels, Christian Weißenfels, Peter Wriggers
math.NAcs.NAphysics.comp-pharXiv:2003.10208v42020On the Virtual Element Method for Three-Dimensional Elasticity Problems on Arbitrary Polyhedral Meshes
Arun L. Gain, Cameron Talischi, Glaucio H. Paulino
math.NAarXiv:1311.0932v12013Convex optimization
Evgeniya Vorontsova, Roland Hildebrand, Alexander Gasnikov +1
math.OCmath.NAarXiv:2106.01946v42021PageRank beyond the Web
David F. Gleich
cs.SIcs.CEmath.NAarXiv:1407.5107v12014A higher order family of iterative methods for approximating inverse and generalized inverse matrices
Alicia Cordero, Bushra Rani, Juan R. Torregrosa
math.NAcs.NAarXiv:2610.07064v12026Multigrid with rough coefficients and Multiresolution operator decomposition from Hierarchical Information Games
Houman Owhadi
math.NAcs.AImath.STarXiv:1503.03467v52015Multiplicative Noise Removal Using Variable Splitting and Constrained Optimization
José M. Bioucas-Dias, Mário A. T. Figueiredo
math.OCmath.NAarXiv:0912.1845v22009Buckling Prediction for Nonlinear Elastic Beams with Soft Inclusions
Thien Tran-Duc, J. E. Bunder, A. J. Roberts
math.NAcond-mat.mtrl-scics.NAarXiv:2609.02956v12026SWASHES: 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:1110.0288v72011Variational Physics-Informed Neural Networks For Solving Partial Differential Equations
E. Kharazmi, Z. Zhang, G. E. Karniadakis
cs.NEcs.LGmath.NAarXiv:1912.00873v12019Convergence Rates in L^2 for Elliptic Homogenization Problems
Carlos E. Kenig, Fanghua Lin, Zhongwei Shen
math.APmath.NAarXiv:1103.0023v12011On the Growth Factor of Random Matrices
John Urschel
math.NAcs.NAarXiv:2610.06785v12026Quantitative $\Gamma$-Convergence: A Variational Extrapolation Framework
Oscar Dominguez, Mario Milman
math.FAcs.NAmath.AParXiv:2610.06645v12026CoSaMP: Iterative signal recovery from incomplete and inaccurate samples
D. Needell, J. A. Tropp
math.NAcs.ITarXiv:0803.2392v22008A 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:1308.6221v22013Path Finding II : An \~O(m sqrt(n)) Algorithm for the Minimum Cost Flow Problem
Yin Tat Lee, Aaron Sidford
cs.DScs.NAmath.NAarXiv:1312.6713v22013Compressed Modes for Variational Problems in Mathematics and Physics
Vidvuds Ozoliņš, Rongjie Lai, Russel Caflisch +1
math.NAphysics.comp-pharXiv:1308.1758v22013A stabilized, nodal strain finite element method for small and large deformations: formulation, analysis, and impact on remeshing strategies
Nestor Rossi, Ignacio Romero
math.NAcs.NAmath-pharXiv:2609.12893v12026Fast L1-L2 minimization via a proximal operator
Yifei Lou, Ming Yan
math.OCcs.ITmath.NAarXiv:1609.09530v42016Variational formulation of problems involving fractional order differential operators
Bangti Jin, Raytcho Lazarov, Joseph Pasciak
math.NAmath.AParXiv:1307.4795v12013