activity
20142025
most citedFried deconvolution

8 citations · 24 across the 20 of their papers we have counts for

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5 papers · 1 filter

math.NA2024

Fast Partial Fourier Transforms for Large-Scale Ptychography

Ricardo Parada, Samy Wu Fung, Stanley Osher

Ptychography is a popular imaging technique that combines diffractive imaging with scanning microscopy. The technique consists of a coherent beam that is scanned across an object i…

math.NA20243 cited

Numerical Analysis on Neural Network Projected Schemes for Approximating One Dimensional Wasserstein Gradient Flows

Xinzhe Zuo, Jiaxi Zhao, Shu Liu +2

We provide a numerical analysis and computation of neural network projected schemes for approximating one dimensional Wasserstein gradient flows. We approximate the Lagrangian mapp…

math.NA2023

Primal-dual hybrid gradient algorithms for computing time-implicit Hamilton-Jacobi equations

Tingwei Meng, Wenbo Hao, Siting Liu +2

Hamilton-Jacobi (HJ) partial differential equations (PDEs) have diverse applications spanning physics, optimal control, game theory, and imaging sciences. This research introduces…

math.NA20231 cited

A first-order computational algorithm for reaction-diffusion type equations via primal-dual hybrid gradient method

Shu Liu, Siting Liu, Stanley Osher +1

We propose an easy-to-implement iterative method for resolving the implicit (or semi-implicit) schemes arising in solving reaction-diffusion (RD) type equations. We formulate the n…

math.NA20223 cited

A primal-dual approach for solving conservation laws with implicit in time approximations

Siting Liu, Stanley Osher, Wuchen Li +1

In this work, we propose a novel framework for the numerical solution of time-dependent conservation laws with implicit schemes via primal-dual hybrid gradient methods. We solve an…