PNAS

Codiscovering graphical structure and functional relationships within data: A Gaussian Process framework for connecting the dots

Many complex data analysis problems within and beyond the scientific domain involve discovering graphical structures and functional relationships within data. Nonlinear variance decomposition with ...
Scientific Research Publishing

A Dimensional Reduction Approach Based on Essential Constraints in Linear Programming ()

1 Department of Mathematics, University of Patras, Patras, Greece. 2 Department of Business Administration, University of Patras, Patras, Greece. This paper presents a new dimension reduction strategy ...
Frontiers

A Free-Knot Spline Modeling Framework for Piecewise Linear Logistic Regression in Complex Samples with Body Mass Index and Mortality as an Example

This paper details the design, evaluation, and implementation of a framework for detecting and modeling non-linearity between a binary outcome and a continuous predictor variable adjusted for ...
C&EN

Decomposition Based Stochastic Programming Approach for Polygeneration Energy Systems Design under Uncertainty

Centre for Process Systems Engineering (CPSE), Department of Chemical Engineering, Imperial College London, London, SW7 2AZ, U.K., and Department of Thermal Engineering, Tsinghua University, Beijing, ...
C&EN

Rigorous Design of Distillation Columns: Integration of Disjunctive Programming and Process Simulators

The economic optimization of a distillation column involves the selection of the number of trays and the feed- and side-streams locations, as well as the operating conditions that minimize the total ...