Fast uncertainty quantification for dynamic flux balance analysis using non-smooth polynomial chaos expansions

JA Paulson, M Martin-Casas… - PLoS computational …, 2019 - journals.plos.org
We present a novel surrogate modeling method that can be used to accelerate the solution
of uncertainty quantification (UQ) problems arising in nonlinear and non-smooth models of …

Multi-target state extraction for the SMC-PHD filter

W Si, L Wang, Z Qu - Sensors, 2016 - mdpi.com
The sequential Monte Carlo probability hypothesis density (SMC-PHD) filter has been
demonstrated to be a favorable method for multi-target tracking. However, the time-varying …

Local cliques in ER-perturbed random geometric graphs

M Kahle, M Tian, Y Wang - arxiv preprint arxiv:1810.08383, 2018 - arxiv.org
Random graphs are mathematical models that have applications in a wide range of
domains. We study the following model where one adds Erd\H {o} s--R\'enyi (ER) type …

[BOOK][B] Unravel the Geometry and Topology behind Noisy Networks

M Tian - 2020 - search.proquest.com
Graphs and network data are ubiquitous across a wide spectrum of scientific and application
domains. Often in practice, an input graph can be considered as an observed snapshot of a …

[CITATION][C] On the clique number of noisy random geometric graphs

M KAHLE, M TIAN, Y WANG - 2019 - Submitted

[CITATION][C] PROF. DR. GARETH W. PETERS

GW Peters, TS Books - 2004 - University of California Santa …