Frontiers

An Augmented High-Dimensional Graphical Lasso Method to Incorporate Prior Biological Knowledge for Global Network Learning

Biological networks are often inferred through Gaussian graphical models (GGMs) using gene or protein expression data only. GGMs identify conditional dependence by estimating a precision matrix ...
Scientific Research Publishing

A Gauss-Newton Approach for Nonlinear Optimal Control Problem with Model-Reality Differences ()

1 Center for Research on Computational Mathematics, Universiti Tun Hussein Onn Malaysia, Batu Pahat, Malaysia. 2 School of Mathematics and Computing Science, Changsha University of Science and ...
PNAS

Optimal deployment of resources for maximizing impact in spreading processes

Spreading processes play an increasingly important role in marketing, opinion setting, and epidemic modeling. Most existing algorithms for optimal resource allocation in spreading processes are based ...
Scientific Research Publishing

Forecasting Spare Parts Demand Using Statistical Analysis ()

Spare parts are very essential in most industrial companies. They are characterized by their large number and their high impact on the companies’ operations whenever needed. Therefore companies tend ...