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20142023
most citedWeak Adversarial Networks for High-dimensional Partial Differential Equations

447 citations · 733 across the 44 of their papers we have counts for

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Showing 2019Show all

7 papers · 1 filter

physics.flu-dyn2019

New methodology based on energy flux similarity for large-eddy simulation of transitional and turbulent flows

Han Qi, Xinliang Li, Hao Zhou +1

A new methodology based on energy flux similarity is suggested in this paper for large eddy simulation (LES) of transitional and turbulent flows. Existing knowledge reveals that th…

math.OC2019★ 4 cited

Path Planning in Unknown Environments Using Optimal Transport Theory

Haoyan Zhai, Magnus Egerstedt, Haomin Zhou

This paper introduces a graph-based, potential-guided method for path planning problems in unknown environments, where obstacles are unknown until the robots are in close proximity…

math.NA2019★ 447 cited

Weak Adversarial Networks for High-dimensional Partial Differential Equations

Yaohua Zang, Gang Bao, Xiaojing Ye +1

Solving general high-dimensional partial differential equations (PDE) is a long-standing challenge in numerical mathematics. In this paper, we propose a novel approach to solve hig…

math.OC2019★ 2 cited

Method of evolving junction on optimal path planning in flow fields

Haoyan Zhai, Mengxue Hou, Fumin Zhang +1

We propose an algorithm using method of evolving junctions to solve the optimal path planning problems with piece-wise constant flow fields. In such flow fields with a convex Lagra…

math.OC2019

Collective motion planning for a group of robots using intermittent diffusion

Christina Frederick, Magnus Egerstedt, Haomin Zhou

In this work we establish a simple yet effective strategy, based on optimal transport theory, for enabling a group of robots to accomplish complex tasks, such as shape formation an…

math.OC2019★ 8 cited

Parametric Fokker-Planck equation

Wuchen Li, Shu Liu, Hongyuan Zha +1

We derive the Fokker-Planck equation on the parametric space. It is the Wasserstein gradient flow of relative entropy on the statistical manifold. We pull back the PDE to a finite…

math.DS2019

Wasserstein Hamiltonian flows

Shui-Nee Chow, Wuchen Li, Haomin Zhou

We establish kinetic Hamiltonian flows in density space embedded with the -Wasserstein metric tensor. We derive the Euler-Lagrange equation in density space, which introduces…