Daniel P. Word

TL;DR: This paper shows that this bottleneck can be overcome by solving the Schur-complement equations implicitly, using a quasi-Newton preconditioned conjugate gradient method and dramatically reduces the computational cost for problems with many coupling variables.

TL;DR: This paper presents a decomposition strategy applicable to DAE constrained optimization problems to find the optimal control profile of a combined cycle power plant with promising results on both distributed memory and shared memory computing architectures with speedups of over 50 times possible.

TL;DR: In this article, the authors investigated the optimization of operational strategies of an industrial ethanol fermentation process and proposed modifications to an existing ethanol fermentation model, including the derivation of an energy balance, modification of the reaction kinetics to include additional inhibition terms, and also estimation of model parameters from industrial data.

TL;DR: This paper develops a framework for efficient estimation of childhood infectious disease models with seasonal transmission parameters using continuous differential equations containing model and measurement noise, showing a 40-fold reduction in solution time over other published methods.

TL;DR: In this paper, a parameter set selection technique that can take uncertainty in the parameter space into account is presented, where sensitivity cones are defined, where a sensitivity cone includes all sensitivity vectors of a parameter for different values.