Image de couverture de livre

Sharp convergence bounds for sums of POD and SPOD weights

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteur principal:	Pan, Zexin
Format:	Preprint
Publié:	2025
Sujets:	Numerical Analysis
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Automatic optimal-rate convergence of randomized nets using median-of-means
par: Pan, Zexin
Publié: (2024)

Dimension-independent convergence rates of randomized nets using median-of-means
par: Pan, Zexin
Publié: (2025)

Optimal bounds for POD approximations of infinite horizon control problems based on time derivatives
par: de Frutos, Javier, et autres
Publié: (2023)

Quasi-Monte Carlo confidence intervals using quantiles of randomized nets
par: Pan, Zexin
Publié: (2025)

Computable error bounds for quasi-Monte Carlo using points with non-negative local discrepancy
par: Gnewuch, Michael, et autres
Publié: (2023)

Sharp preasymptotic error bounds for the Helmholtz $h$-FEM
par: Galkowski, Jeffrey, et autres
Publié: (2023)

$L_2$-approximation using median lattice algorithms
par: Pan, Zexin, et autres
Publié: (2025)

Universal $L_2$-approximation using median lattice algorithms
par: Pan, Zexin, et autres
Publié: (2025)

Skewness of a randomized quasi-Monte Carlo estimate
par: Pan, Zexin, et autres
Publié: (2024)

Using BDF schemes in the temporal integration of POD-ROM methods
par: García-Archilla, Bosco, et autres
Publié: (2025)

Some New Convergence Analysis and Applications of POD-Greedy Algorithms
par: Li, Yuwen, et autres
Publié: (2024)

Sharp bounds on Helmholtz impedance-to-impedance maps and application to overlapping domain decomposition
par: Lafontaine, David, et autres
Publié: (2022)

Sharp error bounds for edge-element discretisations of the high-frequency Maxwell equations
par: Chaumont-Frelet, Théophile, et autres
Publié: (2024)

Pointwise error bounds in POD methods without difference quotients
par: García-Archilla, Bosco, et autres
Publié: (2024)

Galerkin Neural Network-POD for Acoustic and Electromagnetic Wave Propagation in Parametric Domains
par: Weder, Philipp, et autres
Publié: (2024)

POD-ROM methods: error analysis for continuous parametrized approximations
par: García-Arcilla, Bosco, et autres
Publié: (2025)

Uncertainty quantification using importance-sampled quasi-Monte Carlo with dimension-independent convergence rates
par: Pan, Zexin, et autres
Publié: (2026)

POD Suboptimal Control of Evolution Problems: Theory and Applications
par: Banholzer, Stefan, et autres
Publié: (2024)

A new approach to convergence analysis of iterative models with optimal error bounds
par: Tran, Minh-Phuong, et autres
Publié: (2024)

POD-ROM methods: from a finite set of snapshots to continuous-in-time approximations
par: Garcia-Archilla, Bosco, et autres
Publié: (2024)

Worst-case $L_p$-approximation of periodic functions using median lattice algorithms
par: Pan, Zexin, et autres
Publié: (2026)

ROM for Viscous, Incompressible Flow in Polygons -- exponential $n$-width bounds and convergence rate
par: Romor, Francesco, et autres
Publié: (2025)

Proper orthogonal decomposition (POD) combined with hierarchical tensor approximation (HTA) in the context of uncertain parameters
par: Kastian, Steffen, et autres
Publié: (2019)

Subdivision schemes based on weighted local polynomial regression. A new technique for the convergence analysis
par: López-Ureña, Sergio, et autres
Publié: (2023)

Ensemble Kalman Inversion for nonlinear problems: weights, consistency, and variance bounds
par: Ding, Zhiyan, et autres
Publié: (2020)

Well-balanced POD-based reduced-order models for finite volume approximation of hyperbolic balance laws
par: Gómez-Bueno, I., et autres
Publié: (2025)

POD-based reduced order modeling of global-in-time iterative decoupled algorithms for Biot's consolidation model
par: Gu, Huipeng, et autres
Publié: (2025)

Gaussian process approach within a data-driven POD framework for fluid dynamics engineering problems
par: Ortali, Giulio, et autres
Publié: (2020)

Reduced order models for nonlinear radiative transfer based on moment equations and POD/DMD of Eddington tensor
par: Coale, Joseph M., et autres
Publié: (2021)

Quasi-Monte Carlo with one categorical variable
par: Ho, Valerie N. P., et autres
Publié: (2025)

Sharp estimates for the convergence rate of Orthomin(k) for a class of linear systems
par: Draganescu, Andrei, et autres
Publié: (2011)

Fully discrete analysis of the Galerkin POD neural network approximation with application to 3D acoustic wave scattering
par: Dölz, Jürgen, et autres
Publié: (2025)

Stabilized POD Reduced Order Models for convection-dominated incompressible flows
par: Siena, Pierfrancesco, et autres
Publié: (2024)

A POD-DeepONet Framework for Forward and Inverse Design of 2D Photonic Crystals
par: Wang, Yueqi, et autres
Publié: (2026)

POD-based reduced order methods for optimal control problems governed by parametric partial differential equation with varying boundary control
par: Strazzullo, Maria, et autres
Publié: (2022)

NSPOD: Accelerating Krylov solvers via DeepONet-learned POD subspaces
par: Levrero-Florencio, Francesc, et autres
Publié: (2026)

A Priori Error Bounds for POD-ROMs for Fluids: A Brief Survey
par: Ballarin, Francesco, et autres
Publié: (2024)

Sharp inverse statements for kernel interpolation
par: Wenzel, Tizian
Publié: (2023)

A Reduced-Order Model for Nonlinear Radiative Transfer Problems Based on Moment Equations and POD-Petrov-Galerkin Projection of the Normalized Boltzmann Transport Equation
par: Coale, Joseph M., et autres
Publié: (2023)

Model Order Reduction of Cerebrovascular Hemodynamics Using POD_Galerkin and Reservoir Computing_based Approach
par: Halder, Rahul, et autres
Publié: (2026)