For most atmospheric or exo-atmospheric spacecraft flight scenarios, a well-designed
trajectory is usually a key for stable flight and for improved guidance and control of the …

Engineering optimization is the subject of interest for many scientific research teams on a
global scale; it is a part of today's mathematical modelling and control of processes and …

In this paper, a constrained space maneuver vehicles trajectory optimization problem is
formulated and solved using a new three-layer-hybrid optimal control solver. To decrease …

The proximal Galerkin finite element method is a high-order, low iteration complexity,
nonlinear numerical method that preserves the geometric and algebraic structure of …

SPACE maneuver vehicles (SMVs)[1, 2] will play an increasingly important role in the future
exploration of space because their onorbit maneuverability can greatly increase the …

We extend a sequential quadratic programming method for equality constrained
optimization to the setting of Hilbert manifolds. The use of retractions and linearizing maps …

An improved optimal drug scheduling model with considering two control drugs is proposed
and the Gauss pseudospectral-based optimization method is studied to decrease the tumor …

We present a globally convergent method to accelerate density-based topology optimization
using projection-based reduced-order models (ROMs) and trust-region methods. To …

The following paper provides details of an optimal control algorithm for the operation and
analysis of an electric microgrid designed to power either a medium voltage AC (MVAC) …

We address the problem of parallelizing state-of-the-art nonlinear programming optimization
algorithms. In particular, we focus on parallelizing quasi-Newton interior-point methods that …