activity
20182023
most citedDiscovering explicit Reynolds-averaged turbulence closures for turbulent separated flows through deep learning-based symbolic regression with non-linear corrections

25 citations · 25 across the 5 of their papers we have counts for

collaborators

5 papers

physics.flu-dyn2023★ 25 cited

Discovering explicit Reynolds-averaged turbulence closures for turbulent separated flows through deep learning-based symbolic regression with non-linear corrections

Hongwei Tang, Yan Wang, Tongguang Wang +1

This work introduces a novel data-driven framework to formulate explicit algebraic Reynolds-averaged Navier-Stokes (RANS) turbulence closures. Recent years have witnessed a blossom…

math.OC2021

Optimal defined contribution pension management with jump diffusions and common shock dependence

Xiaoyi Zhang, Linlin Tian

This work deals with an optimal asset allocation problem for a defined contribution (DC) pension plan during its accumulation phase. The contribution rate is proportional to the in…

math.OC2020

Minimizing the Ruin Probability under the Sparre Andersen Model

Linlin Tian, Lihua Bai

In this paper, we consider the problem of minimizing the ruin probability of an insurance company in which the surplus process follows the Sparre Andersen model. Similar to Bai et…

math.OC2020

Dividend Barrier Strategies in a Renewal Risk Model With Phase-Type Distributed Interclaim Times

Linlin Tian, Zhaoyang Liu

In this paper, we consider the optimal dividend problem of the renewal risk model with phase-type distributed interclaim times and exponentially distributed claim sizes. Assume tha…

q-fin.MF2018

Optimal Dividend of Compound Poisson Process under a Stochastic Interest Rate

Linlin Tian, Xiaoyi Zhang

In this paper we assume the insurance wealth process is driven by the compound Poisson process. The discounting factor is modelled as a geometric Brownian motion at first and then…