20 citations · 69 across the 17 of their papers we have counts for
37 papers
Data Analysis using Riemannian Geometry and Applications to Chemical Engineering
Alexander Smith, Benjamin Laubach, Ivan Castillo +1
We explore the use of tools from Riemannian geometry for the analysis of symmetric positive definite matrices (SPD). An SPD matrix is a versatile data representation that is common…
Solution of Large-Scale Supply Chain Models using Graph Sampling & Coarsening
Jiaze Ma, Victor M. Zavala
We present a graph sampling and coarsening scheme (gSC) for computing lower and upper bounds for large-scale supply chain models. An edge sampling scheme is used to build a low-com…
New Measures for Shaping Trajectories in Dynamic Optimization
Joshua L. Pulsipher, Benjamin R. Davidson, Victor M. Zavala
We propose a new class of measures for shaping time-dependent trajectories in dynamic optimization (DO). The proposed measures are analogous to risk measures used in stochastic opt…
A Unifying Modeling Abstraction for Infinite-Dimensional Optimization
Joshua L. Pulsipher, Weiqi Zhang, Tyler J. Hongisto +1
Infinite-dimensional optimization (InfiniteOpt) problems involve modeling components (variables, objectives, and constraints) that are functions defined over infinite-dimensional d…
Spatio-Temporal Economic Properties of Multi-Product Supply Chains
Philip A. Tominac, Weiqi Zhang, Victor M. Zavala
In this work, we analyze the spatio-temporal economic properties of multi-product supply chains. Specifically, we interpret the supply chain as a coordinated market in which stakeh…
Measuring and Optimizing System Reliability: A Stochastic Programming Approach
Joshua L. Pulsipher, Victor M. Zavala
We propose a computational framework to quantify (measure) and to optimize the reliability of complex systems. The approach uses a graph representation of the system that is subjec…