Lihan Wang

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math.AP2026

Wasserstein gradient flows of Maximum Mean Discrepancy with energy kernels

Matthew Rosenzweig, Dejan Slepčev, Lihan Wang

We study the Wasserstein gradient flow of the squared Maximum Mean Discrepancy (MMD) generated by the nonsmooth energy kernels $K (z) = - ∣ z ∣^{q}$ , $0 < q < 2$ . In dimensions $d \geq 2$ , the co…

math.AP2023

Artificial boundary conditions for random ellitpic systems with correlated coefficient field

Nicolas Clozeau, Lihan Wang

We are interested in numerical algorithms for computing the electrical field generated by a charge distribution localized on scale $l$ in an infinite heterogeneous correlated rando…