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20192026
most citedWavelet-based Methods for Numerical Solutions of Differential Equations

1 citations · 1 across the 3 of their papers we have counts for

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6 papers · 1 filter

math.NA2026

Arbitrarily High-Order Convergence of Wavelet-based Galerkin Scheme for 1D Elliptic Interface Problems

Bin Han, Michelle Michelle

The solution of an elliptic interface problem in a domain is often smooth away from the interface , but its gradient is discontinuous across . Consequently,…

math.NA2025

High-order, Compact, and Symmetric Finite Difference Methods for -Dimensional Elliptic Equations

Qiwei Feng, Bin Han, Michelle Michelle +1

This paper presents compact, symmetric, and high-order finite difference methods (FDMs) for the variable Poisson equation on a -dimensional hypercube. Our schemes produce symmet…

math.NA2024

Galerkin Scheme Using Biorthogonal Wavelets on Intervals for Elliptic Interface Problems

Bin Han, Michelle Michelle

This paper presents a wavelet Galerkin method for solving elliptic interface problems of the form in , where is a smooth interface wi…

math.NA2020

Wavelets on Intervals Derived from Arbitrary Compactly Supported Biorthogonal Multiwavelets

Bin Han, Michelle Michelle

(Bi)orthogonal (multi)wavelets on the real line have been extensively studied and employed in applications with success. A lot of problems in applications are defined on bounded in…

math.NA2020

Dirac Assisted Tree Method for 1D Heterogeneous Helmholtz Equations with Arbitrary Variable Wave Numbers

Bin Han, Michelle Michelle, Yau Shu Wong

In this paper we introduce a new method called the Dirac Assisted Tree (DAT) method, which can handle 1D heterogeneous Helmholtz equations with arbitrarily large variable wave numb…

math.NA20191 cited

Wavelet-based Methods for Numerical Solutions of Differential Equations

Bin Han, Michelle Michelle, Yau Shu Wong

Wavelet theory has been well studied in recent decades. Due to their appealing features such as sparse multiscale representation and fast algorithms, wavelets have enjoyed many tre…