Abstract: We propose a quantum-assisted framework for solving constrained finite-horizon nonlinear optimal control problems using a barrier Sequential Quadratic Programming (SQP) approach. A quantum ...

Abstract: One of the most critical challenges of the modern power distribution system is to optimize the network, reduce loss, and ultimately reduce the cost of operation. After years of research, it ...

MPAX is a hardware-accelerated, differentiable, batchable, and distributable solver for mathematical programming in JAX, designed to integrate with modern computational and deep learning workflows: ...

This framework provides a complete suite of tools for analyzing hypersonic reentry trajectories under uncertainty, combining advanced mathematical modeling with modern computational methods. It ...