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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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781 to 840 of 952

  1. PyHessian: Neural Networks Through the Lens of the Hessian

    Zhewei Yao, Amir Gholami, Kurt Keutzer +1

    cs.LGmath.NAarXiv:1912.07145v32019

  2. A simple algorithm for the summation of alternating series

    Eleonora Denich, Paolo Novati, Alvise Sommariva

    math.NAarXiv:2608.26287v12026

  3. A linear mass-lumped finite element method for the Landau-Lifshitz-Gilbert equation: unconditional energy dissipation and length preservation

    Qiumei Huang, Binghong Li, Xiaoli Li +2

    math.NAarXiv:2608.26687v12026

  4. A Gradient Descent Algorithm on the Grassman Manifold for Matrix Completion

    Raghunandan H. Keshavan, Sewoong Oh

    math.NAcs.LGarXiv:0910.5260v22009

  5. Convex optimization problem prototyping for image reconstruction in computed tomography with the Chambolle-Pock algorithm

    Emil Y. Sidky, Jakob H. Jørgensen, Xiaochuan Pan

    math.NAmath.OCphysics.med-pharXiv:1111.5632v22011

  6. Nodal Discontinuous Galerkin Methods on Graphics Processors

    Andreas Klöckner, Tim Warburton, Jeffrey Bridge +1

    math.NAarXiv:0901.1024v32009

  7. Fast Direct Methods for Gaussian Processes

    Sivaram Ambikasaran, Daniel Foreman-Mackey, Leslie Greengard +2

    math.NAastro-ph.IMmath.STarXiv:1403.6015v22014

  8. Playing with Duality: An Overview of Recent Primal-Dual Approaches for Solving Large-Scale Optimization Problems

    Nikos Komodakis, Jean-Christophe Pesquet

    math.NAcs.CVcs.LGarXiv:1406.5429v22014

  9. Hybrid Deterministic-Stochastic Methods for Data Fitting

    Michael P. Friedlander, Mark Schmidt

    math.NAeess.SYmath.OCarXiv:1104.2373v42011

  10. A Discontinuous Galerkin discretization for the sea ice dynamics

    Emma Lagracie, Thomas Richter

    math.NAarXiv:2608.26810v12026

  11. The Compact Discontinuous Galerkin (CDG) Method for Elliptic Problems

    Jaume Peraire, Per-Olof Persson

    math.NAarXiv:math/0702353v32007

  12. Geometry-Informed Neural Operator for Large-Scale 3D PDEs

    Zongyi Li, Nikola Borislavov Kovachki, Chris Choy +8

    cs.LGmath.NAarXiv:2309.00583v12023

  13. Super-Resolution from Noisy Data

    Emmanuel Candes, Carlos Fernandez-Granda

    cs.ITmath.NAarXiv:1211.0290v32012

  14. A multi-class kinetic traffic flow model: discrete-velocity formulation and diffusively-corrected macroscopic limits

    Carmen Mezquita-Nieto, Paola Goatin, Axel Klar

    math.NAmath.AParXiv:2608.27159v12026

  15. On the Virtual Element Method for Three-Dimensional Elasticity Problems on Arbitrary Polyhedral Meshes

    Arun L. Gain, Cameron Talischi, Glaucio H. Paulino

    math.NAarXiv:1311.0932v12013

  16. Enforcing Dirichlet Boundary Conditions in Operator Learning

    Andrew M. Stuart, Margaret Trautner

    math.NAcs.LGarXiv:2608.27256v12026

  17. A General Iterative Shrinkage and Thresholding Algorithm for Non-convex Regularized Optimization Problems

    Pinghua Gong, Changshui Zhang, Zhaosong Lu +2

    cs.LGmath.NAstat.COarXiv:1303.4434v12013

  18. Modern Regularization Methods for Inverse Problems

    Martin Benning, Martin Burger

    math.NAarXiv:1801.09922v12018

  19. Spectral Convergence of the Multipole Expansion Method for Acoustic Scattering in Three Dimensions

    Jinrui Zhang, Jun Lai

    math.NAarXiv:2608.26884v12026

  20. Scalable Gradients for Stochastic Differential Equations

    Xuechen Li, Ting-Kam Leonard Wong, Ricky T. Q. Chen +1

    cs.LGmath.NAstat.MLarXiv:2001.01328v62020

  21. Primal-dual methods and acceleration for Morozov and equality constrained regularization

    Diana-Elena Mirciu, Martin Benning, Elena Resmerita

    math.NAarXiv:2608.27106v12026

  22. High-order stabilized matrix-free simulation of rotating mixing devices using the Mortar Element Method

    B. Campos, P. Munch, V. O. Ferreira +3

    physics.flu-dynmath.NAarXiv:2608.27423v12026

  23. Bochner Stability for B-stable DIRK Schemes

    Anthony E. Ramirez, Abner J. Salgado

    math.NAarXiv:2608.27210v12026

  24. QH-GEM: Quantum-Hydrodynamic Generative Modeling

    Harbir Antil, Alex Kaltenbach, Sarswati Shah

    math.NAmath-phmath.OCarXiv:2608.27216v12026

  25. Scale-uniform inverse inequalities for scaled kernel spaces

    Davoud Mirzaei

    math.NAmath.APmath.FAarXiv:2608.26945v12026

  26. A computational framework for infinite-dimensional Bayesian inverse problems. Part I: The linearized case, with application to global seismic inversion

    Tan Bui-Thanh, Omar Ghattas, James Martin +1

    math.NAmath.OCstat.COarXiv:1308.1313v12013

  27. Why not to use the Gaussian kernel

    Toni Karvonen, Chris J. Oates

    stat.MLcs.LGmath.NAarXiv:2608.26974v12026

  28. GNOT: A General Neural Operator Transformer for Operator Learning

    Zhongkai Hao, Zhengyi Wang, Hang Su +6

    cs.LGmath.NAphysics.comp-pharXiv:2302.14376v32023

  29. Global convergence of splitting methods for nonconvex composite optimization

    Guoyin Li, Ting Kei Pong

    math.OCcs.LGmath.NAarXiv:1407.0753v62014

  30. Combining geometry and combinatorics: A unified approach to sparse signal recovery

    R. Berinde, A. C. Gilbert, P. Indyk +2

    cs.DMcs.DSmath.NAarXiv:0804.4666v12008

  31. Tensor Ring Decomposition

    Qibin Zhao, Guoxu Zhou, Shengli Xie +2

    math.NAcs.CVcs.DSarXiv:1606.05535v12016

  32. Revisiting Natural Gradient for Deep Networks

    Razvan Pascanu, Yoshua Bengio

    cs.LGmath.NAarXiv:1301.3584v72013

  33. Deep Hedging

    Hans Bühler, Lukas Gonon, Josef Teichmann +1

    q-fin.CPmath.NAmath.OCarXiv:1802.03042v12018

  34. Waveguiding in systems of high contrast resonators: Theory and fast computations

    Habib Ammari, Bowen Li, Borui Miao +2

    math.NAarXiv:2608.26906v12026

  35. Matrix approach to discrete fractional calculus II: partial fractional differential equations

    Igor Podlubny, Aleksei V. Chechkin, Tomas Skovranek +2

    math.NAmath-phmath.CAarXiv:0811.1355v42008

  36. A stable DG-POD reduced-order method for dynamic linear viscoelasticity

    Byeong-Chun Shin, Yongseok Jang

    math.NAarXiv:2608.26625v12026

  37. PyHST2: an hybrid distributed code for high speed tomographic reconstruction with iterative reconstruction and a priori knowledge capabilities

    Alessandro Mirone, Emmanuelle Gouillart, Emmanuel Brun +2

    math.NAcs.CVarXiv:1306.1392v12013

  38. High Probability Derivative Bounds for Random tanh Neural Networks on a Hypercube

    Josef Dick, Michael Feischl, Fabian Zehetgruber

    cs.LGmath.NAarXiv:2608.26526v12026

  39. Efficient tensor completion for color image and video recovery: Low-rank tensor train

    Johann A. Bengua, Ho N. Phien, Hoang D. Tuan +1

    math.NAcs.DSarXiv:1606.01500v12016

  40. A Sufficient Condition for Convergences of Adam and RMSProp

    Fangyu Zou, Li Shen, Zequn Jie +2

    cs.LGcs.CVmath.NAarXiv:1811.09358v32018

  41. Revisiting the Nystrom Method for Improved Large-Scale Machine Learning

    Alex Gittens, Michael W. Mahoney

    cs.LGcs.DSmath.NAarXiv:1303.1849v22013

  42. Physics-Informed Stochastic Configuration Machine: A Backpropagation-Free Neural Network with Fast Training for Nonlinear Differential Equations

    Yuehao Song, Zhong Chen, Lihui Cen +2

    math.NAcs.AIcs.LGarXiv:2608.26549v12026

  43. A non-adapted sparse approximation of PDEs with stochastic inputs

    Alireza Doostan, Houman Owhadi

    math.NAmath.AParXiv:1006.2151v12010

  44. TOPIQ: Statistical Error Propagation for Quantity-of-Interest Prediction under Lossy Compression

    Youyuan Liu, Bo Jiang, Taolue Yang +3

    cs.PFcs.ITmath.NAarXiv:2608.26912v12026

  45. Exact imposition of boundary conditions with distance functions in physics-informed deep neural networks

    N. Sukumar, Ankit Srivastava

    math.NAcs.NEarXiv:2104.08426v22021

  46. Virtual Element Methods for general second order elliptic problems on polygonal meshes

    L. Beirão da Veiga, F. Brezzi, L. D. Marini +1

    math.NAarXiv:1412.2646v12014

  47. Accelerated Proximal Stochastic Dual Coordinate Ascent for Regularized Loss Minimization

    Shai Shalev-Shwartz, Tong Zhang

    stat.MLcs.LGmath.NAarXiv:1309.2375v22013

  48. Choose a Transformer: Fourier or Galerkin

    Shuhao Cao

    cs.LGmath.NAarXiv:2105.14995v42021

  49. Message Passing Neural PDE Solvers

    Johannes Brandstetter, Daniel Worrall, Max Welling

    cs.LGcs.CVmath.NAarXiv:2202.03376v32022

  50. Communication-optimal parallel and sequential QR and LU factorizations

    James Demmel, Laura Grigori, Mark Hoemmen +1

    math.NAarXiv:0808.2664v12008

  51. Model Reduction and Neural Networks for Parametric PDEs

    Kaushik Bhattacharya, Bamdad Hosseini, Nikola B. Kovachki +1

    math.NAcs.LGstat.MLarXiv:2005.03180v22020

  52. Firedrake: automating the finite element method by composing abstractions

    Florian Rathgeber, David A. Ham, Lawrence Mitchell +6

    cs.MSmath.NAarXiv:1501.01809v32015

  53. On the reconstruction of block-sparse signals with an optimal number of measurements

    Mihailo Stojnic, Farzad Parvaresh, Babak Hassibi

    cs.ITmath.NAarXiv:0804.0041v12008

  54. LSMR: An iterative algorithm for sparse least-squares problems

    David Fong, Michael Saunders

    cs.MSmath.NAarXiv:1006.0758v22010

  55. Equilibrated adaptive learning rates for non-convex optimization

    Yann N. Dauphin, Harm de Vries, Yoshua Bengio

    cs.LGmath.NAarXiv:1502.04390v22015

  56. On the Expressive Power of Deep Learning: A Tensor Analysis

    Nadav Cohen, Or Sharir, Amnon Shashua

    cs.NEcs.LGmath.NAarXiv:1509.05009v32015

  57. On exact discretization of the $L_2$-norm in the space spanned by the first $N$ Rademacher functions

    Anna Kazakova

    math.FAmath.NAarXiv:2608.25058v12026

  58. From estimate to proof: certified ground-state energy bounds for singular Schrödinger operators

    Xuefeng Liu

    math.NAarXiv:2608.25760v12026

  59. The AAA algorithm for rational approximation

    Yuji Nakatsukasa, Olivier Sète, Lloyd N. Trefethen

    math.NAarXiv:1612.00337v22016

  60. CARE-SAV: A Conditioning-Aware Random-Feature Framework for Energy-Stable Simulation of Gradient Flows

    Bingcheng Hu, Zhaoxiang Li

    math.NAarXiv:2608.25300v12026