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20072025
most citedDeep Subdomain Adaptation Network for Image Classification

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9 papers · 1 filter

math.NA2021

A plane wave method based on approximate wave directions for two dimensional Helmholtz equations with large wave numbers

Qiya Hu, Zezhong Wang

In this paper we present and analyse a high accuracy method for computing wave directions defined in the geometrical optics ansatz of Helmholtz equation with variable wave number.…

math.NA2021

Large deviations principles of sample paths and invariant measures of numerical methods for parabolic SPDEs

Chuchu Chen, Ziheng Chen, Jialin Hong +1

For parabolic stochastic partial differential equations (SPDEs), we show that the numerical methods, including the spatial spectral Galerkin method and further the full discretizat…

math.NA2021

Optimal design for kernel interpolation: applications to uncertainty quantification

Akil Narayan, Liang Yan, Tao Zhou

The paper is concerned with classic kernel interpolation methods, in addition to approximation methods that are augmented by gradient measurements. To apply kernel interpolation us…

math.NA2021

An acceleration strategy for randomize-then-optimize sampling via deep neural networks

Liang Yan, Tao Zhou

Randomize-then-optimize (RTO) is widely used for sampling from posterior distributions in Bayesian inverse problems. However, RTO may be computationally intensive for complexity pr…

math.NA20211 cited

Large-stepsize integrators for charged-particle dynamics over multiple time scales

Ernst Hairer, Christian Lubich, Yanyan Shi

The Boris algorithm, a closely related variational integrator and a newly proposed filtered variational integrator are studied when they are used to numerically integrate the equat…

math.NA20204 cited

A variational analysis for the moving finite element method for gradient flows

Xianmin Xu

By using the Onsager principle as an approximation tool, we give a novel derivation for the moving finite element method for gradient flow equations. We show that the discretized p…