Through the development of an exact path integral for use in transferring information from
observations to a model of the observed system, the author provides a general framework …

In this paper, a data-driven approach is applied to minimize energy consumption of a
heating, ventilating, and air conditioning (HVAC) system while maintaining the thermal …

Speed planning system is generally equipped for intelligent and connected vehicles (ICVs).
Under the circumstances of autonomous driving, an energy-optimal speed trajectory is …

Combinatorial techniques have become essential tools across the landscape of
computational science, and some of the combinatorial ideas undergirding these tools are …

Exascale computing systems are essential for the scientific fields that will transform the 21st
century global economy, including energy, biotechnology, nanotechnology, and materials …

We consider a class of inverse problems defined by a nonlinear mapping from parameter or
model functions to the data, where the inverse mapping is Hölder continuous with respect to …

We explore strategies for optimally controlling the pandemic through practical vaccination
planning across different subpopulations, with the aiming of striking a balance between …

The advent of efficient interior point optimization methods has enabled the tractable solution
of large-scale linear and nonlinear programming (NLP) problems. A prominent example of …

Given the steady increase in cores per CPU, it is only a matter of time before
supercomputers will have a million or more cores. In this article, we investigate the …

In this paper, a modified sequential quadratic programming (SQP)-based model predictive
control (MPC) algorithm is developed and implemented for power plant cycling applications …