Forsythe's conjecture resolved for all restart lengths
A 56-year-old open problem about restarted CG convergence is now completely classified.
· “A Complete Resolution of Forsythe's Conjecture for Restarted Conjugate Gradients”
Numerical Analysis
cs.NA is an alias for math.NA. Roughly includes material in ACM Subject Class G.1.
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A 56-year-old open problem about restarted CG convergence is now completely classified.
· “A Complete Resolution of Forsythe's Conjecture for Restarted Conjugate Gradients”
For smooth Schrödinger operators, the number of nested limits needed for each spectral part is now established.
· “Sharp Computational Bounds for Spectral Types of Schr\"odinger Operators”
New proof via moment method and tensor-product model settles Nelson–Nguyen conjecture.
Index-set-dependent weights detect smoothness invisible to the isotropic Barron scale; the result is uniformly sharp.
· “Sharp Mixed Spectral Barron Regularity of Coulombic Many-Electron Wave Functions”
A closure estimate now bounds new elements by marked triangles across every adaptive step and all tie choices.
· “Closure complexity of longest-edge bisection for triangular meshes”
The result fills a gap for three-body trajectory problems, where endpoint orbits resist algebraic equations.
· “Transversality Conditions for Boundary Constraints Defined by Differential Equations”
Fully discrete method for semilinear SPDEs cuts computational cost from δ⁻³ to δ⁻⁵/³.
· “Overcoming the spatial order barrier for nonlinear SPDEs with additive space-time white noise”
A vine-copula sigma-point scheme matches million-sample Monte Carlo on skewness and kurtosis.
· “Quadratic Point Estimate Method for Uncertainty Quantification with Dependent Non-Gaussian Inputs”
A direct projection-error analysis shows sample complexity drops from $\varepsilon^{-2}$ to $\varepsilon^{-2\theta}$ when gradients are…
The classical Melan suspension-bridge equation has a unique solution under realistic loads, computable by a simple proven algorithm.
Macro-element ghost penalty and flux limiters avoid severe CFL restrictions from small cut cells, achieving robust high-order accuracy.
· “High-Order Discontinuous Cut Finite Element Methods for Scalar Hyperbolic Conservation Laws”
First pathwise uniform strong convergence for explicit time-stepping with superlinear drift and multiplicative noise.
· “Strong convergence rates of tamed exponential Euler schemes for superlinear hyperbolic SPDEs”
Geometry-aware Hankel completion fills in missing data; samples needed grow linearly with the number of scatterers.
· “Off-Grid Point-Scatterer Localization from Sparse Limited-Aperture Data via Hankel Completion”
FD3 method with GenEO coarse spaces keeps condition number bounded across 4096 subdomains, enabling efficient parallel PDE solving.
Fourth-order tumor-growth PDEs meet MRI-based breast geometry at reference-level accuracy.
Paired solves train a network to predict interior and boundary errors, and the expensive full law runs only when those tolerances fail.
· “Selective boundary condition reduction via learned error gating”
Spectral-element method evolves strongly asymmetric characteristic data, validated by exact solutions and independent residual checks.
· “Picard Iteration for the Characteristic Initial Value Problem in Einstein Equations”
Splitting sectional forces into elastic and viscous parts removes mixed derivatives and yields a discrete energy law.
· “A Discontinuous Galerkin Method for the Intrinsic Beam Model with Kelvin-Voigt Damping”
Compact high-resolution method achieves second-order accuracy with Courant numbers up to 12 in Langmuir systems.
Rigorous error bounds and open-source Julia code enable reliable simulation of hydroelastic plates for wave energy converters.
· “A discontinuous finite element method for the hydroelastic analysis of submerged structures”
Implicit schemes avoid the quadratic time-step restriction of earlier methods, enabling efficient simulation of population spread.
· “Finite difference methods for three kinds of reaction-diffusion equations with free boundaries”
A positive correction factor stays in (0,2) for every input, so the iteration never reverses or explodes.
· “Third-order Halley-type iterative method with positive and bounded correction function”
Exact rounding examples show equivalent solvers can diverge; the same analysis gives a stopping test and a rank audit.
A unified FE framework models connectors and switches without explicit surface tracking
· “A third-medium approach for electro-thermo-mechanical contact considering Joule heating”
A sound combination of redundancy tests plus intelligent variable choice cuts the double-exponential blowup in practice.
Computer-assisted construction of a Lipschitz domain shows essential spectral radius exceeds 1/2, disproving Kenig's conjecture.
· “A counterexample to Kenig's conjecture for the Laplace double-layer operator”
Each smoothing step acts on a convex average of all past states; quantified bounds control old-state memory and pinning.
A nonconvex model with closed‑form ADMM updates outperforms BM3D, OGS, and FOTV on several test images.
New stability bounds let kernel-matrix factorization run on scattered, nonconvex point clouds where rigid grids fail.
A convergent particle discretization solves the Matytsin hydrodynamical problem for generic densities.
· “Efficient computation of the asymptotics of extensive-rank HCIZ integrals”
Four kernel methods share one invariant – preserve the original samples while transforming the representation – enabling hybrid designs…
· “Mapping for Approximation: A Unified View of Rescaled, Variably Scaled and Rational Kernel Methods”
Friction-aware yield with hardening predicts printed-wall collapse to within one layer.
Fourier-Galerkin with implicit midpoint rule converges at theoreticaly optimal rates under smoothness conditions.
Optimal first-order convergence for velocity and pressure on curved surfaces, proven and tested.
· “Analysis of a Surface Crouzeix-Raviart Element for the Stokes Problem”
High-order finite volume methods for denitrification in settling tanks preserve nonnegativity and mass balance, proven without diffusion.
· “Invariant-region-preserving high-order schemes for a model of reactive sedimentation”
Monte Carlo simulations quantify marginal green contribution of each module; farmer adoption, not accuracy, is the binding constraint
High-density regime Nh^d >> 1 makes the extra error exponentially small, replacing costly particle simulation.
· “A discontinuous Galerkin approximation of the Dean--Kawasaki equation”
Dilation-covariant Hankel pencils enable certifiable recovery of sparse Mellin models from geometric samples.
· “Dilation-Covariant Hankel Pencils for Multiscale Recovery of Sparse Mellin Spectra”
Generalizes scalar result with explicit matrix Schwarzian derivative, no gradient-field assumption needed.
· “Halley's Method for Rectangular Matrix Variables and the Matrix Schwarzian Derivative”
The induced flow map gives fluid models a consistency test that state matching alone cannot provide.
The core result is a bound on the expected residual trace after k iterations of γ-approximate RPCholesky: E[tr $A^{{(k-1)}}$] ≤ $γ^{{-1}}$…
· “Convergence rates of randomly pivoted methods for low-rank approximation”
Numerical study shows that once Trotter error is low, more resources don't improve the phase-sampling rate—the initial state is the…
Weighted Laplace spaces give a simple comparison of continuous and discrete spectra, with a conditional path to rational covariance…
· “Weighted Laplace Spaces for Spectral Measures and Rational Approximation”
Cost grows linearly in the number of assets, and basket-option prices stay accurate all the way up.
· “Fourier-cosine Tensor Trains for Density Recovery and Expectation Calculation”
Divided differences yield a new identity that expresses an r+2F_{r+1}(1) series as a finite sum of r+1F_r(1) series.
· “Terminating Zero-Balanced Hypergeometric Series Using Divided Differences”
Transforms the series into a functional equation on [0,1], recovers the sum from a collocation approximation at the origin.
· “The Levin Method for the Summation of One-dimensional and Multidimensional Infinite Series”
A scaled-boundary finite element study ranks baffle shapes for partially filled swaying tanks.
Rigorous convergence analysis for a model with variable mobility and singular logarithmic free energy
New analysis proves symmetric interior-penalty method achieves optimal first-order strong error on general polygon and polyhedron meshes…
· “Polytopic symmetric interior-penalty approximation of elliptic SPDEs driven by spatial white noise”
The same mesh constant controls conforming and Crouzeix-Raviart errors, with no global convexity or H2 assumption.
· “Crouzeix--Raviart--Marini realisation of computable a priori L²-error bounds on anisotropic meshes”
Proof shows logarithmic oversampling is unavoidable when selecting points from iid candidates.
Coarse scrambling shrinks the gain coefficient; the median then beats Monte Carlo's rate in every dimension.
· “Robust high-dimensional integration using medians of coarsely scrambled Sobol' sequences”
A numerical method for a hyperbolic relaxation system that remains stable and consistent as relaxation vanishes, validated on…
High-order collocation reaches rate m once the nonlinear exponent vanishes at the initial value.
Enforcing smoothness first keeps high-frequency, variable-material waves accurate with far fewer unknowns.
Trained once, the cell response stays differentiable in temperature and gradient, so multiscale Newton steps need no re-solves.
· “Nonlinear elliptic homogenization with the parametric Deep Ritz method”
Truncated-domain method reproduces the full instability cascade—including cellular parametric flames—at 80–98% lower cost.
A gauge-invariant lower bound on quantized matrix multiplication error is established, and almost optimal transforms that achieve it are…
· “A Nuclear-Norm Lower Bound for Dithered Scalar Quantization of Matrix Products”
Worst-case L2 error decays as n^{-min(α,k+1)} up to log factors, with matching lower bound for any dimension.
· “Shallow neural network approximation in mixed Sobolev spaces”
Systematic study shows fine-tuning, prompting, and decoding choices matter more than model specialization for short-horizon crypto price…
· “PRICE: A Systematic Study of LLM Adaptation Choices for Bitcoin Price Forecasting”
Putting known boundary-layer shapes into the trial space keeps errors flat as parameters fall from 1e-3 to 1e-11.
· “A simple shallow neural network for emulating the solution to singularly perturbed problems”
A multi-map flow solver shows ions leave a measurable late-time imprint on the electron phase space.
New error analysis shows increasing polynomial degree reduces the pollution term, making high-frequency simulations affordable.
A unifying correction framework yields divergence-free, trace-preserving projections for Bernardi-Raugel, Taylor-Hood, and more.
The kernel sums behind MMD and SVGD flows become an attention call with linear memory and faster fp16 results for D>8.
Order-two splits keep the power balance when every subproblem stays port-Hamiltonian; the diagonal decomposition stays fast without losing…
· “Energy-Consistent Splitting and Decomposition Approaches for Coupled port-Hamiltonian ODEs”
Numerical exponent <0.261 supports E(t)=O(t^{1/4+ε}) and suggests log-factor refinements.
· “Numerical experiments on the Hardy conjecture for the Gauss circle problem”
High‑order schemes proven to satisfy infinitely many entropy inequalities while preserving optimal accuracy and strong convergence for…
A tunable pseudo-structure lets engineers embed geometric constraints before optimisation, cutting variable count to single digits while…
· “Geometry Parameterisation via a Structural Modal Basis for Aerodynamic Shape Optimisation”
A proven identity replaces subface quadrature with one uniform face kernel; iterations stay flat as refinement deepens.
· “Adaptive Multilevel Discontinuous Galerkin Methods on GPUs”
Energy-gradient neural ODEs need an antisymmetric term to match long magnetization rollouts; damping alone drifts.
A scalar norm-based accelerator cuts per-step matrix products from six to four, lifting the efficiency index.
· “Improving the efficiency of a Hyperpower method for approximating inverse matrices”
Key insight: each update contracts KL divergence by factor 1 − 2/p, enabling high-precision guarantee for all p > 2.
· “Computing Lewis Weights to High Precision by Fixed-Point Iteration”
A Bernstein–von Mises theorem shows the infinite-dimensional posterior converges in Sobolev spaces, enabling uncertainty quantification at…
· “Bernstein--von Mises theorems for Bayesian probabilistic numerics”
Two-level proof with vertex-patch smoothing holds however the boundary slices the grid; degree cost is explicit
The condition number of the solution is not controlled by condition numbers of A, B, or C, as shown by a 3×3 example.
Elliptical layer models match real collapse height within one layer; rectangles can mislead by tens of percent.
A differentiable hybrid model for crystal dissolution discovers physically consistent kinetics and optimizes temperature profiles in a…
It provably reaches second-order accuracy for nonsmooth data while obeying the discrete maximum principle.
Errors stay flat as λ grows to 10⁶, and the new eigensolver's convergence rate never depends on λ.
· “Mini mixed finite element method for nearly incompressible linear elasticity problems”