5 papers
Fragility of Minimum-Variance Portfolios
Daniel Ovalle, Carl D. Laird, Ignacio E. Grossmann +1
Minimum-variance portfolios are well known to be highly sensitive to covariance estimation error. In this paper, we show that by imposing a block diagonal correlation structure, we…
Efficient Convexification of Kolmogorov-Arnold Networks with Polynomial Functional Forms Via a Continuous Graham Scan Approach
Tianwei Li, Daniel Ovalle, Barnabas Poczos +3
Deterministic global optimization of nonlinear models is important in many scientific and engineering applications. This framework typically involves repeatedly solving convex rela…
Logic-Based Discrete-Steepest Descent: A Solution Method for Process Synthesis Generalized Disjunctive Programs
Daniel Ovalle, David A. Liñán, Albert Lee +4
The optimization of chemical processes is challenging due to the nonlinearities arising from process physics and discrete design decisions. In particular, optimal synthesis and des…
Event Constrained Programming
Daniel Ovalle, Stefan Mazzadi, Carl D. Laird +2
In this paper, we present event constraints as a new modeling paradigm that generalizes joint chance constraints from stochastic optimization to (1) enforce a constraint on the pro…
Optimal Reactive Operation of General Topology Supply Chain and Manufacturing Networks under Disruptions
Daniel Ovalle, Joshua L. Pulsipher, Yixin Ye +4
Supply and manufacturing networks in the chemical industry involve diverse processing steps across different locations, rendering their operation vulnerable to disruptions from unp…