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Numerical Analysis daily digest.

27 past editions, oldest first by date. Atom feed → · all categories

01 — Past editions

most recent first

2026-07-19 Subgrid-Scale Parameterization in Burgers' Equation Using... 1 papers · No. 58
2026-07-18 Subgrid-Scale Parameterization in Burgers' Equation Using... 1 papers · No. 57
2026-07-17 Subgrid-Scale Parameterization in Burgers' Equation Using... 1 papers · No. 56
2026-07-16 Approximation of solutions of parameter-dependent problems by residual... 2 papers · No. 55
2026-07-15 Deep Learning-based Surrogate Modelling of the LOD Method for Multiscale Problems 1 papers · No. 54
2026-07-08 Kernel-based Operator Learning: Error Analysis, Budget Allocation, and a... 1 papers · No. 47
2026-07-01 Domain-Decomposed Randomized Neural Networks for Partial Differential... 1 papers · No. 40
2026-06-30 McMg: A Learned Phase-Space Multi-channel Multigrid Preconditioner for... 1 papers · No. 39
2026-06-28 Hierarchical Muon: Tiled Newton-Schulz Updates for Efficient Muon Optimization 2 papers · No. 37
2026-06-27 Hierarchical Muon: Tiled Newton-Schulz Updates for Efficient Muon Optimization 2 papers · No. 36
2026-06-26 Hierarchical Muon: Tiled Newton-Schulz Updates for Efficient Muon Optimization 2 papers · No. 35
2026-06-24 Dirac-Frenkel dynamics with inertia for nonlinearly parametrized solutions... 2 papers · No. 33
2026-06-22 CoarseSolvers for Exascale Solution of Poisson Problems 3 papers · No. 31
2026-06-21 CoarseSolvers for Exascale Solution of Poisson Problems 3 papers · No. 30
2026-06-20 CoarseSolvers for Exascale Solution of Poisson Problems 3 papers · No. 29
2026-06-19 CoarseSolvers for Exascale Solution of Poisson Problems 3 papers · No. 28
2026-06-18 A performance portable fast Ewald summation for Stokes flow 1 papers · No. 27
2026-06-17 A Convex Quasilinearization Method for Solving Nonlinear PDEs with... 2 papers · No. 26
2026-06-16 Petrov-Galerkin Variational Physics-Informed Neural Network Framework for... 1 papers · No. 25
2026-06-15 Robin-Neumann Coupling of PINN and FEM Solvers: A Steklov-Poincaré View,... 1 papers · No. 24
2026-06-11 Adjoint Method versus Physics-Informed Neural Networks in PDE-Constrained... 1 papers · No. 20
2026-06-10 Dmsh: A Multi-Agent Reinforcement Learning Framework for All-Quad Mesh Generation 1 papers · No. 19
2026-06-08 No-Harm Physics-Informed Inverse Learning with Residual-Calibrated Uncertainty 1 papers · No. 17
2026-06-07 DAS-PINNs for high-dimensional partial differential equations: extending... 2 papers · No. 16
2026-06-06 DAS-PINNs for high-dimensional partial differential equations: extending... 2 papers · No. 15
2026-06-05 DAS-PINNs for high-dimensional partial differential equations: extending... 2 papers · No. 14
2026-06-02 Physics-Informed Residuals for Adaptive Mesh Refinement in Finite-Difference... 2 papers · No. 13

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